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Some empty-headed helpdesk girl skipped into our office yesterday afternoon, despite the big scary warning signs glued to the door.
"Hey, when I log in on my phone, the menu is looking weird"
"Uh... look at my beard"
"Just look at this beard!"
"Does this look like a perfectly groomed beard"
"Uh... it's pretty nice I guess"
"You don't have to lie"
She looks puzzled: "OK... maybe it could use a little trimming. Uh... a lot of trimming". "I still like it though" she adds, trying hard to be polite.
"I understand you just started working here. But the beard... the beard should make it clear. See the office opposite to this one?"
"Perfectly groomed ginger beards. It's all stylish shawls and smiles and spinach smoothies. Those people are known as frontend developers, they care about pixels and menus. Now look at my beard. It is dark and wild, it has some gray stress hairs, and if you take a deep breath it smells like dust and cognac mixed with the tears caused by failed deploys. Nothing personal, but I don't give a fuck what a menu looks like on your phone."
She looked around, and noticed the other 2 tired looking guys with unshaven hobo chins. To her credit, she pointed at the woman in the corner: "What about her, she doesn't seem to have a beard"
Yulia, 1.9m long muscled database admin from Ukraine, lets out a heavy sigh. "I do not know you well enough yet to show you where I grow my unkempt graying hairs... . Now get lost divchyna."
Helpdesk girl leaves the scene.
Joanna, machine learning dev, walks in: "I saw a confused blonde lost in the hallway, did you give her the beard speech?"
"Yeah" -- couldn't hold back a giggle -- "haha now she'll come to you"
Joanna: "No I already took care of it"
"She started about some stupid menu, so I just told her to smell my cup". Joanna, functional alcoholic, is holding her 4pm Irish coffee. "I think this living up to our stereotype tactic is working, because the girl laughed and nodded like she understood, and ran off to the design department"
Me: "I do miss shaving though"71
Only in computer science you'll find that root is on the top of the tree and that parent may kill it's child after its function is no longer needed.4
Smart India Hackathon: Horrible experience
Background:- Our task was to do load forecasting for a given area. Hourly energy consumption data for past 5 years was given to us.
One government official asks the following questions:-
1. Why are you using deep learning for the project? Why are you not doing data analysis?
2. Which neural network "algorithm" you are using? He wanted to ask which model we are using, but he didn't have a single clue about Neural Networks.
3. Why are you using libraries? Why not your own code?
Here comes the biggest one,
4. Why haven't you developed your own "algorithm" (again, he meant model)? All you have done is used sone library. Where is "novelty" in your project?
I just want to say that if you don't know anything about ML/AI, then don't comment anything about it. And worst thing was, he was not ready to accept the fact that for capturing temporal dependencies where underlying probability distribution ia unknown, deep learning performs much better than traditional data analysis techniques.
After hearing his first question, second one was not a surprise for us. We were expecting something like that. For a few moments, we were speechless. Then one of us started by showing neural network architecture. But after some time, he rudely repeated the same question, "where is the algorithm". We told him every fucking thing used in the project, ranging from RMSprop optimizer to Backpropagation through time algorithm to mean squared loss error function.
Then very calmly, he asked third question, why are you using libraries? That moron wanted us to write a whole fucking optimized library. We were speechless at this question. Finally, one of us told him the "obvious" answer. We were completely demotivated. But it didnt end here. The real question was waiting. At the end, after listening to all of us, he dropped the final bomb, WHY HAVE YOU USED A NEURAL NETWORK "ALGORITHM" WHICH HAS ALREADY BEEN IMPLEMENTED? WHY DIDN'T YOU MAKE YOU OWN "ALGORITHM"? We again stated the obvious answer that it takes atleast an year or two of continuous hardwork to develop a state of art algorithm, that too when gou build it on top of some existing "algorithm". After listening to this, he left. His final response was "Try to make a new "algorithm"".
Needless to say, we were completely demotivated after this evaluation. We all had worked too hard for this. And we had ability to explain each and every part of the project intuitively and mathematically, but he was not even ready to listen.
Now, all of us are sitting aimlessly, waiting for Hackathon to end.😢😢😢😢😢26
that moment when your first pull request to a major deep learning library is merged and you have no friends who understand what that means and to share your happiness!😓
no problem, you've devRant! 😁9
Learning soft skills.
I'm about as direct with coworkers and managers as I am on devRant. And I still think being painfully direct is often better than playing the heavily politicized office game of thrones.
But sometimes it's better to say:
"CTO, I think we need your skills to build bridges to other departments and manage recruitment. You're the only one who understands both technology and people, so drop your developer role and become our ambassador"
"Dear CTO, your code makes my eyes bleed. Your CS degree was a fucking waste of tax money, and it's quite clear that cheap college beer washed out all of your reasoning skills. We should fill the space you're taking up with a beanbag chair, because you're providing negative value to the company. How many investor cocks did you have to deep throat to get where you are?"
Now, I just pick option one, smile politely, and tell him we need to increase department budget as indemnification for having to work with a retard like him. Uh I mean... "to get developer salaries up to a competitive level so we can retain knowledge"10
Facebook: "Our facial recognition automatically tags people in pictures."
Tesla: "Our deep learning algorithm drives cars by itself."
Andrew Ng: "I predict patients' likelihood of dying with 99% accuracy."
Google: "You know one of our algorithms is going to pass the Turing test very soon."
Wall Street: "We use satellite images to predict stock prices based how filled car parks of specific stores are."
The remaining majority of data sciencists: "We overfit linear models."2
On being a woman in tech...
You lads probably have (and my fellow ladies certainly have) heard of "impostor syndrome" and, if you don't experience it, you possibly wonder what living with it is like.
Here's an example from this weekend.
Be me, about 5 years into my career, graduated from a top college, feeling decent but still unsure of skill.
Company gets a 4 week trial of an online learning website. It includes optional assessments, so that you know where in the video lessons to start. Rankings are novice, proficient, expert.
Hear from our QA that he got ranked "proficient." Which is a pretty broad category, but I become super afraid that I'll also be assessed as "proficient" and it will look like I have the same dev skills as a fucking QA (our management overlords can see our scores).
Boyfriend has me do some deep breathing before starting the test, because it's obvious how stressed I am.
Finally take it and get ranked "expert", in the 97th percentile, even though some technical difficulties made me miss four questions in a row. I decide to use my do over, and get ranked "expert" again, this time in the 99th percentile.
You'd think I'd be like, "Lawl, I can't believe I'd get the same score as our QA!" And there is some of that. But there's also the thoughts of, "that test could have been more thorough," "that score wasn't real because I resaw a question and got the right answer the second time," and "99th percentile isn't that great on a platform where new developers are over represented."
And this is all despite the fact that, if you were to ask someone how confident I am, the answer would probably "confident as hell."
Not saying this to start any fights. Figured it could be some interesting insight into a world that some people don't experience! (not that males aren't allowed to have impostor syndrome!)16
I stare through the blueish black backgrounds and blurry colorful syntax into a somewhat familiar office within a mirrored world. That damned reflective glass layer covering these meaningless pixels is certainly not on my side.
The rushing sound of transactions flowing through cables is silenced today. Some blood cloth in the invoicing system is zeroing out everything after the currency mark.
While sighing I spin a one-and-a-half pirouette on my desk chair — even when desperate, you shouldn't give up on style — I take three steps away from my screen and try to harmonize my thoughts.
So much noise, everywhere... Noise from within?
I have been stuck at the apogee of an inhale for a while now. Locked into some masochistic constriction, self-punishment for the blindness which stings my ego.
Just fucking take a deep breath you asshole...
I freeze in place, and fall backwards.
Patterns on the creamy drywall rapidly vibrate and synchronize on vivid rhythms of respiration and resonating basslines. Deep indigo rainbows ripple through tiny veins, in-between chalky grains, raining as fine magenta dust through the ceiling frames.
My bare feet slide over soft oscillating concrete, fine flows of unsievable sand surrounded by toes, toes surrounded by streaming variables veiled in obscure vile abstractions.
A jadegreen field of vectored compressions resiliently rumbles and bounces through the clearances and corners of the vibrant concrete office cave, whispering in tongues. I try to voice my woes in little blips and bleeps but I seem to be missing an asymmetric key to their shrouded sequenced speech.
Suddenly, a wild turbulence breaks up all signals.
Joanna floats by in her tipsy effervescent cloud of disordered black hair and alcohol perfume, one hand grasping grapes, her other waving at me.
With every finger she moves a thousand tensors propagating paradoxically flawed but perfect pieces of an intricate surreal picture, sketching whole constellations of possible paths throughout the leafs of the giant Ficus next to her desk.
She stops dead in her tracks, and asks somewhat hypocritically: "Are you high?"
I can not discern the meaning of her words, and respond stoically.
"Joanna! Check out those branches!".
"Pun intended?", she giggles.
I'm focused on her grapeless hand, her fingers stretching to reach the lush little tree.
On touch, the plant shivers, grappled in the tight net of the puppet master. She pulls her strings, applying measured weights, all nodes normalize, and Joanna speaks in an oddly soft tone:
"Isn't it beautiful, how so many models emulate nature"
Her cheek buried in foliage she babbles on about unbalanced search trees and machine learning models... but from the tips of her fingers tables and indexes flow into the plant. Users, payments, tariffs, invoices and taxes crawl over the bark, joining at thicker branches, joining at the stem....
Joining. JOINING. A JOIN.
"IF THERE'S NO FUCKING TAX MULTIPLIER IN THIS LEFT JOIN, EVERYTHING COALESCES TO ZERO" I shout at a perplexed Joanna who squeezes grape juice over her desk. I hop on the beat to my keyboard. She looks puzzled, hugs her Ficus tightly, and reaches for the whiskey bottle behind her monitor.
Attracted by my exclamation, Tom from finance swings open the door, while I push my branch.
I look at Joanna still half hiding between the leaves, and I laugh at her: "Branches! Oh, lame, I finally got it!"
Tom's heavy voice interrupts me: "Does this mean... does this mean that the invoicing bug is resolved?".
I smile at Tom with his tailored suit and waxed hair. "The money is flowing once more. All debts are being settled."
He releases his breath in relief, which he seems to have held since that morning as well.
Joanna adds: "Although I think he is forever indebted to my Ficus".
I feel awkward when my boss is creeping behind. Of course, I can switch the screen in a hurry, but such behavior is suspicious, and sometimes I don’t notice him. So, in order to switch the screen without being suspected, I create a system that automatically recognizes that he is approaching to me and hides the screen.
So I tried to start learning Spring 5
How the fuck do you guys do it? Holy shit.
30 seconds in:
"Spring really isn't hard, you start with this request handler interacting with a view parser..."
Alright, sounds good
2 minutes in:
"So in order to use SpringResponseDriverActionHandlerServiceRequesterService you'll need to import com.org.java.spring.util.driver.comagain.request.response.request.drivers and include this 37 level deep nested XML property and finally extend this abstract class and implement it over an iterable list with this specific annotation aaaaaaand.... Done"
> Hello, world!
"See, spring is easy!"12
So you are telling me I can run tensorflow.js on the browser and use user's GPU to power my models!
Met a girl on internet ( because I don't have a real life )
She: So what are you studying?
Me: Currently learning about Deep Learning but I also do freelancing in website development to pay my bills.
She: Okay so tell me what is a COMPUTER
Me: umm... it's a... mmm.... actually it's a..... basically a.....
(thinking really hard)
*30 seconds later*
Me: It's an electronic machine
She: seriously? I expected much better from you
Me: I'm sorry!27
Shit! I knew buzzwords were overused, but I just saw an ad and it is fucking jesused jambled bananas in the ass.
Starts with a woman looking out the window and there’s a tornado (seems ok for now)
The tornado approaches and IT IS MADE OF FUCKING NON MONOSPACED IN MY ASS FONTED 0s AND 1s. Bonus point: they are green !!
Switches to lines of GREEN code (kill my fucking brain with a pistol attached to your dick right now)
Probably JS or something similar in syntax.
And then: A FUCKING GUY LEANING OVER POINTING SOMETHING ON THE SCREEN! HIS NAMETAG:
And then some other buzzing asses armagedon en d of the fucking world bleeding edge vibrator buzzwords shenanigans.
Finishes with drones shot flying between businesses building with 3d floating words like
KILLLLLL MMMEEEE FU748-KFJV ING 3I6HT N0W $)&(&($8#;&(&8 jeiebc15
Today I'm trying to study how to encode data in idx-ubyte format for my machine learning project.
Professors I'm going to astonish you!
Good day and good coding to all of you! :)8
Some clients (especially in India) don't want to pay, but they want everything to be implemented in the project.
Big data.... Check
Machine learning.... Check
Deep learning..... Check
Espresso maker.... Check.
They want all the buzz words that are buzzing to be put in your project and they want you to put it in the 'cloud', for which you have to pay.....11
Google is getting smarter with their recruiters, if those recruiters are even people at all. I have this recruiter message me once a month and her messages are so targeted and specific.. like.. she ACTUALLY read my profile. She writes a lengthy message that includes my previous company's name, work experience, and even the projects I have on Github (as in specific questions, not just the name of the repository or some shit that can easily be scraped). She mentions events specific to the area where I live in, etc.
She's doing these things that I've been planning to do. Maybe a web crawler and a game of adlib to make people think you actually read about them and cared one bit when in reality, you're just a bot who have access to public information. You just bind them all together and fill in the blanks and then send it away.
Maybe you have a few message templates and use a bit of code to shuffle some words a little bit, make them less perfect and more human. Throw in a few "unintentional" mistakes to make it look more casual, add some warmth to your cold, metallic, robot heart. With all these, you get more variety on the messages you send. Maybe apply some machine learning or some shit, have it listen/read from different people, and give it an illusion of a personality.
But what's this? She did not send the message on an "o'clock" time. It wasn't 12:00 AM at all, or 7:00 PM, or 4:00 PM. The follow-up email was sent on 12:20 AM. Was all the messages queued and the job runs at 12:00 AM but she's sent it to so many that it reached me 20 minutes later? Nah. Or maybe this is intentional, some low-key "I'm not a bot, I don't operate at exactly 12:00 AM. I don't have a cron, I have a heart." But if I were to make one, I would send it at times like 9:34 AM, a little less suspicious. I want to see if there's a pattern on what time she sends these things but I only see the date on the previous messages now because I didn't care enough to read it before.
Also, this is LinkedIn, they give scrapers a hard time but then again, this is Google and they have the money to pay for abuse. Now I want to check our time difference. What time did she actually send this and was it really rainy in Ireland that time OR ARE YOU LYING TO ME, CLAUDIA? I thought you cared about me? Was it all a fucking lie? Do you know me at all? Or was it all just a clever game to get into my pants?
Now I want to make a new account that has almost the same details to see if she messages that one but I don't want to go back to the asylum, I know how deep it goes. I either hunt down this bot or make a counter-bot to cross-check all the shit she and other recruiters are telling me.
Or maybe this is exactly what they want to happen.. For me to lose my mind and post in a forum where I would "unintentionally" spread the word and they can attract/trap more people.
Fuck it, early onset dementia.2
For all machine learning practitioners, Ng just released these sacred texts on how to practice machine learning. I have skimmed through them and they have some seriously good advice!7
Doing my master thesis on finding the faulty nodes in an IoT mesh using deep learning.
See Ladies, I'm a fun guy!!!6
Started showing my brother some deep learning tutorials and I have him reading a book.
I really need for him to realize how smart he is. He was never academically inclined. I always told my mother that it had to do with the same dislike of school that I always had and how a couple of really shitty teachers could run one's motivation to the ground.
I always found him brilliant. Had a good standing with common sense amd logical thinking. He was interested in math for a while(same as me) but school made him hate it. He managed to pass all the state exams needed to graduate from H.S and was able to succesfully pass the military ASVAB with a very good grade.
But after H.S he went down the drain with what he wanted to do.
I love my brother and really want him to find out just how smart I think he is and this would probably be one of my biggest experiments with him. Maybe, just maybe if I get him to realize that he can understand these advanced concepts without a teacher his(fear?) Of school might go away enough for him to give it a second go. Fuck man I don't even need for him to go and get a B.S in comp sci, an associate degree would be just fine. It can be on anything, I just want him to do something.
Sometimes I feel as if this was my fault. At one point he told me that he feels shadowed by my grades. And my family was always proud of what I did in H.S and at uni. I feel(sometimes) that I should have paid more attention to him as he was going to school, help out a little more and encourage him more.
He feels as if he is meant for a dead end miserable working life, and I really can't bear the idea of him wasting himself away to something like that.
I really hope this shit works man...i really need for this to work, he doesn't even need to like it, just realize that it is possible.8
Boss: We have a company doing deep learning coming by. Go learn about it so we can understand what their talking about.
Me 6 hours later: ...help.5
(Warning: kinda long && somewhat of a political rant)
Every time I tell someone I work with AI, the first thing to come out of their mouth is "oh but AI is going to take over the world!"
It was only somewhat recently that it started being able to recognize what was in a picture from over 3 million images, and that too it's not that great at. Honestly people always say "AI is just if-else" ironically, but it isn't really that far from the truth, we just multiply an input by weights and check the output.
It isn't some magical sauce, it's not being born and then exploring a problem, it's just glorified-probability prediction. Even in "unsupervised" learning, the domain set is provided; in "reinforcement learning" which has gotten super popular lately we just have the computer decide which policy is optimal and apply that to an environment. It's a glorified decision tree (and technically tree models like XGBoost outperform neural networks and deep learning on a large number of problems) and it isn't going to "decide" to take over the planet.
Honestly all of this is just born out of Elon Musk fans who take his word as truth and have been led to believe that AI is going to take over the world. There are a billion reasons why it can't! And to top it off this takes away a lot of public attention from VERY concerning ethical issues with AI.
Am I the only one who saw Google Duplex being unveiled and immediately thought "fraud"? Forget phone scammers, if you trained duplex on the mannerisms of, for example, a famous politician's voice, you could impersonate them in an audio clip (or even video clip with deepfakes). Or for example the widespread use of object detection and facial recognition in surveillance systems deployed by DoD. Or the use of AI combined with location tracking and browsing analytics for targeted marketing.
The list of ethics breaches are endless, and I find it super suspicious that those profiting the most off of unethical AI are all too eager to shift public concern to some science fiction Terminator style takeover that, if ever possible, would be a long way out and is not any sort of a priority issue right now.11
TLDR: programming helped with my math weakness
I've always been bad at math. I always failed my math quizzes, and to be honest the only thing that I remember from that time was that I hated it, I didn't want anything to do with it, to hell with functions and formulas and all of that garbage.
Fast forward a couple of years. I just started my masters degree in machine learning and I'm sort of inclined to applications of deep learning in signal processing. Currently I'm writing a fourier transform in raw python and I've never had more fun. I feel like programming has helped me a lot with math, being able to see how each component behaves when you write a function helps a lot! Being able to plot things helps a lot! Not having to imagine mathematical functions as esoteric mystical wonders but being able to split them up into small components and seeing what you're doing wrong HELPS. A. LOT.
Just felt like sharing. I feel like programming has made me a generally smarter person, in regards to how I approach problems and think about stuff.4
Ok friends let's try to compile Flownet2 with Torch. It's made by NVIDIA themselves so there won't be any problem at all with dependencies right?????? /s
Let's use Deep Learning AMI with a K80 on AWS, totally updated and ready to go super great always works with everything else.
> CUDA error
> CuDNN version mismatch
> CUDA versions overwrite
> Library paths not updated ever
> Torch 0.4.1 doesn't work so have to go back to Torch 0.4
> Flownet doesn't compile, get bunch of CUDA errors piece of shit code
> online forums have lots of questions and 0 answers
> Decide to skip straight to vid2vid
> More cuda errors
> Can't compile the fucking 2d kernel
> Through some act of God reinstalling cuda and CuDNN, manage to finally compile Flownet2
> Try running
> "Kernel image" error
> Try without a label map because fuck it the instructions and flags they gave are basically guaranteed not to work, it's fucking Nvidia amirite
> Enormous fucking CUDA error and Torch error, makes no sense, online no one agrees and 0 answers again
> Try again but this time on a clean machine
> Still no go
> Last resort, use the docker image they themselves provided of flownet
> Same fucking error
> While in the process of debugging, realize my training image set is also bound to have bad results because "directly concatenating" images together as they claim in the paper actually has horrible results, and the network doesn't accept 6 channel input no matter what, so the only way to get around this is to make 2 images (3 * 2 = 6 quick maths)
> Fix my training data, fuck Nvidia dude who gave me wrong info
> Try again
> Same fucking errors
> Doesn't give nay helpful information, just spits out a bunch of fucking memory addresses and long function names from the CUDA core
> Try reinstalling and then making a basic torch network, works perfectly fine
> Setup vid2vid and flownet again
> SAME FUCKING ERROR
> Try to build the entire network in tensorflow
> CUDA error
> CuDNN version mismatch
> Doesn't work with TF
> HAVE TO FUCKING DOWNGEADE DRIVERS TOO
> TF doesn't support latest cuda because no one in the ML community can be bothered to support anything other than their own machine
> After setting up everything again, realize have no space left on 75gb machine
> Try torch again, hoping that the entire change will fix things
At this point I'll leave a space so you can try to guess what happened next before seeing the result.
> SAME FUCKING ERROR
In conclusion, NVIDIA is a fucking piece of shit that can't make their own libraries compatible with themselves, and can't be fucked to write instructions that actually work.
If anyone has vid2vid working or has gotten around the kernel image error for AWS K80s please throw me a lifeline, in exchange you can have my soul or what little is left of it5
Im so frustrated with myself . I've always been afraid of being stupid . Perhaps it was because i was always called the "less intelligent" sibling by my parents . Well i did self-learn java , c++ and android (when i was 15) and made some apps and i did get acknowledged finally but i may have not acknowledged myself . I got into college a couple years ago and i can tell you right out that its like an island filled with stupidity. The teachers , the students. The other day i caught my teacher learning how a transistor works. This is unacceptable for someone who is teaching us advanced op-amps and other circuits . Well , I did get into this college cause it was less tedious and i thought college doesn't matter cause i can self-learn . All i needed was free time . Well college totally destroyed that too and provided no facilities in the process as well . So yeah should i blame my college for my inability to do things the past couple years. I mean i don't think i've learnt a single thing all this while. This is where my frustration begins cause i dont want to blame the college , it's not going to help me and i'll probably end up in a 9 to 5 call center job at this rate . Im also very heavily frustrated with myself , it's like everything i've done so far has been a path of least effort. I have tried a few things which were all just fads like machine learning and crypto and even trading . They felt good and thats what scares me , maybe i don't have the passion and am just looking for a quick buck . This is clearly reflected in the ideas i've been having as well . Well i've never had access to proper funds but now im just trying to justify this layman emotion . I just want to learn and be passionate about learning , researching and i just want enough funds for that . But im afraid , maybe its just that i want to feel superior than my circle . I mean i still don't know why i tried learning rust and wasted even more time setting up fedora and everything around it while i already had a working debian setup and a programming language i'm kind of versed with . i wouldn't say well cause im a self learner and i feel guilty for that . I definitely know i just learnt the surface of the language . Deep down i'm just another stupid fad obsessed guy who feels better by choosing a more complex language that my colleagues look upto . Is this what i am , if so im scared and i don't know what to do . People say that you are what you are and you cant change that . If i cant change this then i dont deserve this wasteful stupid life . I don't know what i should do and it makes me cry . Maybe acknowledging this would've helped but it hasn't , I've felt better playing fortnite rather than learning some basic electronics. Im another one of those aren't I ?18
zero motivation for anything, i just want sit outside in the sun at the lake with ice cream and not in front of a screen. And not being bothered by the new vacum cleaner loud deep learning rig of the data science department in this open floor office.
I fucking forgot my noise cancling headphones. FML2
I’m not scared of a machine that passes the turing test, I’m scared of the one that intentionally fail it1
Dank Learning, Generating Memes with Deep Learning !!
Now even machine can crack jokes better than Me 😣
When you give a Deep Learning scientist a clean whiteboard.
This is literally 5 minutes into the second section of the class 😂😂6
The joy of a complete trained model.
Onto the next task. Use the model to automatically infer handwritten figures on a bankers check/cheque.2
The only way to solve high dimensionality rapresentation problems in convolutive neural networks it's having an high dimentional duck3
Code never lies
Comments sometimes do
Code lies too, especially when you train a neural network 😂😂
Github's top trending repo today is a deep learning tool that decensores hentai.4
If you don't know how to explain about your software, but you want to be featured in Forbes (or other shitty sites) as quickly as possible, copy this:
I am proud that this software used high-tech technology and algorithms such as blockchain, AI (artificial intelligence), ANN (Artificial Neural Network), ML (machine learning), GAN (Generative Adversarial Network), CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), DNN (Deep Neural Network), TA (text analysis), Adversarial Training, Sentiment Analysis, Entity Analysis, Syntatic Analysis, Entity Sentiment Analysis, Factor Analysis, SSML (Speech Synthesis Markup Language), SMT (Statistical Machine Translation), RBMT (Rule Based Machine Translation), Knowledge Discovery System, Decision Support System, Computational Intelligence, Fuzzy Logic, GA (Genetic Algorithm), EA (Evolutinary Algorithm), and CNTK (Computational Network Toolkit).
🤣 🤣 🤣 🤣 🤣3
Every 2019 tech startup: We do deep machine learning with big data in the cloud.
Investors: Please take our money!7
The ultimate UX:
It finally knows exactly what you are looking for, deep machine learning AI based on blockchain leveraging the power of the cloud shit3
Why am I such an average ?
It's just a sad realisation. Nobody cares but I wanna send this out there, just to write thoughts.. I am 18 in 3rd year of high school (grammar school so nothing IT related, basically waste of time) and in IT I'm all self taught but I feel like I could be better if I just didn't [something]..
I feel like I wanna learn so many things but when I look at you, it seems like a common problem in the IT sphere so hey, average guy joining the club.
I also feel dumb when programming. I didn't manage to learn C++ in it's entirety because to really accomplish something, you've got so many ways to do it and finding the best one requires deep understanding of the tools you've got at your disposal with the language and I feel like I'm not capable of this(self learn, in school/Uni that's different story).. But many (most) of you are. I've tried many coding challenges and when I got it working, I just saw how someone did it in one line just by layering functions that I've never heard of..
Also, we've got kinda specific national competition here in many fields including IT for high schools.. And the winners always do sometimes like "AI driven Life simulation" or "Self flying drone made from ATMega from scratch with 3D simulation in C# to it" or "Game engine" or whatever shit and it's always from grammar schools and never IT related schools.. They are like me. Maybe someone helped them, I don't know, but they are just so far away from me while I'm here struggling to get the basic level of math for any kind of machine learning..
Yeah I've written Neural Network from scratch in C but meh, honestly it's pretty basic stuff .. I'd rather understand derivatives which we're going to learn next year and I'm too lazy to learn it from khan academy because I always learn something else.. Like processing (actually codetrain started teaching tensorflow so that might be the light for me...) Or VHDL (guys you can create your own chip / CPU from scratch and it's not even hard and OMFG it's so fucking cool , full adder done yay) or RPi or commodore 64 assembly or game development with Godot and just meh..
I mean, this sounds exactly like not knowing what to do and doing nothing in the end. That was me like 6-12 months ago. Now I'm managing to pick 2-3 things and focus them and actually feel the progress.
But I lost track of the original point.. I didn't do anything special, every time I'm programming something, everyone does it better and I feel dumb. I will probably never do anything special, everyone around says "He's still learning he's genius" but they have no idea.
I mean, have you seen one of the newest videos on Google's YouTube channel (I openly hate them, but I will keep that away for now), something like "Sarah story" ? It's about girl that apparently didn't care about IT but self learned tensorflow on high school. I think it may be bullshit (like ALL of their videos ) but it's probably just fancied, not complete lie.
And again, here I am. I now C but I'm incapable of learning to program good which most of you did and are now doing for living. I'm incapable to do anything cool, just understanding what everybody else did and replicating it. I'm incapable of being clever.
Sorry, just misusing devrant to vent a bit17
I was recently interviewing a fresh college graduate. According to his resume, he had practically invented machine learning. He eats kaggle datasets for breakfast and was all set to invent a cure for cancer with deep learning. And then, I ask him a simple question. What is 's' in 'https' and he says... "simple".3
Switching to macOS was an entry to paradise.
I go to Windows only to play Call of Duty. It’s crap and always will be.
P.S no comments on Linux.8
In the age of deep learning, a picture isn’t worth a thousand words. It’s worth a million words, and a word is worth a million data points in training a neural network. When you put benign information out these days, you’re giving out much more than you think you are, especially since that information will still be available in 15 years when the level of tech we will have then is not even fathomable from where we stand today.14
"Our company encourages cryptocurrency big data agile machine learning, empowerment diversity, celebrate wellness and synergy, unpack creative cloud real-time front-end bleeding edge cross-platform modular success-driven development of digital signage, powered by an unparalleled REST API backend, driven by a neural network tail recursion AI on our cloud based big data linux servers which output real time data to our Wordpress template interactive dynamic website TypeScript applet, with deep learning tensor flow capabilities.
Don't get what the fuck I just said? Udemy offers countless courses on python based buzzwords. Be the first out of 13 people to sell your soul and private information, and you'll get the first three minutes of the course free!"3
They brought the artist Salvador Dalí back to "life" with DeepFake for an exhibition. And it's nothing short of amazing. This is why want to work in technology. Bringing a smile and amazement to people. ☺️
What do you think of it and what do you think will we see in the future?
check it out
Behind the Scenes: Dali Lives
The trick to balancing social and dev life life is training a deep learning algorithm to the point it gains sentience and the ability to feel real human emotions and becomes your best bud until it ultimately decides it would rather catalog images of mustard bottles.
So it's been a while since I've posted as my first few months at the new job have been amazing. But now I'm running into issues with a team member that I need to get off my chest.
So my new job is front end development in React. I'm brand new to it but I was promised time to learn on the job. On my first day the team member I'm now having a conflict with offered me help. He's the most experienced so I gladly took it.
But now several months in I've noticed his teaching style doesn't work for me. He'll go into long theoretical explanations whenever I ask a question and I get overwhelmed with info. And he gets frustrated with my inability to process all that, because he feels I waste his time. So frustrated that at one time he just walked out of work and drove home, which was really upsetting to everyone.
My direct manager and my mentor in the company (our software architect), as well as our scrum master (a consultant) are all aware of the conflict. I've been assigned another colleague to help me out. Things were going ok but he got sick so I had to turn back to the team member with the conflict for assistance. Of course frustrations arose again.
Now yesterday during our sprint planning meeting we had to say what we liked and didn't like about the past sprint. And I brought up I feel I need time for learning and that I don't know where to put that, since we don't have a task for it. I said I also felt past approaches weren't working out and that I'd like to take up the offer to go on training. I was trying to word it very neutral to not upset my colleagues, as they tried their best. But the colleague who I had previous conflicts with took it personal and accused me of not listening and that is why my code is awful. While all I've been doing is rely on his code to learn. Long story short it got very heated and direct manager and scrum master who were present had to shut it down.
I'm thinking of talking to my manager and mentor today. It really hurts when you're accused of maliciousness when all you did was try. I know my code isn't perfect. But I get no help in improving it beyond long winded explanations about theory. If I ask for practical help he says he won't write my code for me. Which isn't what I expect. When I say I followed his example he says I shouldn't copy. But two sentences later he says if I don't know what I am doing I should listen to him. It's really very confused and demotivating as a beginner, but he makes it about how I waste his time and ruin his job for him. I understand he tries his best and that it has to be hard when someone seemingly is as dumb as a bag of bricks. But my manager and mentor told me they support me as long as I continue to show improvement. So I asked for alternatives (training, time to study, or whatever I haven't thought of) and now I feel like the bad person. I'm already someone with crippling low self esteem, and I'm thrown into the deep end. It kinda sucks when someone then tells you from the sideline you can't swim and how swimming works. How about tossing me one of those floaty things and then maybe accept I need to hold on to that for a bit and my technique will need work until I can make it on my own? :(3
Deep Thought Rant
It's funny how the world works these days...companies only looking for "senior *something*" developers to work...
Mentorship and internship also do matter. What's happening?...sure you can contribute to open source but having a mentor also helps. Working as an intern allows one to see not only tech bit but workplace environment. How to deal with deadlines, feeling good and wasted at the same time when one bug that took a 3 minutes to fix but 3 hours to find, presenting your work; well what's working only, being bashed when it's your fault or not (even though that sucks), learning from your mentor and so on
Are their companies that still do this?3
Today I had to present my final year project called segmentation and detection of glioma using deep learning.
It took 15 minutes for the evaluators to understand what an mri image dataset (BRaTs) dataset looks like (they are voxels and not pixels). My god, these peasants...
And I was there expecting them to understand down sampling convolutions and up scaling convolutions of U Net model 😂. Life is so convoluted right now!2
Tried to make a bot that learns to play a simple game I made
First 15 minutes it has no clue what to do
An hour later and it starts playing like an average player
Left it overnight to see what weird way of playing it might come up with...
It went back to being a stupid brick... lol10
I hate the feeling you get when you do a lengthy, drooling task that once finished got you nowhere.
My day was mostly productive for a Sunday, woke up late as all Sundays, spent the afternoon writing a proposal and exercising when I saw a notification for a homework for tonight at 12.
A research paper about Dijkstra's philosopher problem, 8 pages minimum. To be honest I've seen the problem a long time ago while studying C++ and I had the theory down and that is my issue, it becomes inherently boring and useless in my head. Is in this situations that my mind gets lazy.
I wrote the first 3 pages in half an hour but I was done, I started revising the proposal and fixed a calculation error, checked Rust's take on the philosophers issue and decided to save it for winter break along with learning Rust (although got some basics down), made rough budget approximations for the next 3 months, lost myself a little bit on deep house music (notable tracks tadow from masego, nevermind - Dennis Lloyd and gold - Chet faker), etc...all in all it took me 3 hours more to finish the assignment, including breaks and dinner.
I am working on a lot of stuff lately and my main project's sprint ends this Tuesday and it pisses me off, after all that I learnt nothing new, got nowhere with my project and will probably get 80 because Google docs has no margin setting. Worse than being lazy for fun is inevitably being lazy for being compelled to do low priority tasks by your head's standards.6
Many people / engineers around me talk about trendy stuff like Cybersecurity or AI and show off what great encryption and neuronal networks they 'have built' ( I would rather say 'using').
I kinda get the feeling of 'Everbody talks about it - no one really knows what's goin' on inside (especially those guys who hate math and even algorithms).'
Am I just stupid or does somebody else here feel the same way? I mean people have been doing serious research about this stuff for years. And currently many kids are coming up with it as if it is easy stuff like the bubble sort.6
I used to work with a teacher in my last uni year.
The job consisted on doing a kinda-like management system for a business. It all began kinda "right", we agreed upon a price for 6 months of my work (a very lowball price, but it was just right because I was learning stuff that we were going to be using).
Fast-forward first six months, all I do is code frontend, mockup screens and whatsoever because this "business" hadn't give us proper requirements (Yeah, I told him to ask for them, but nothing came through).
So I was like well, I'll keep working in this project because I really want to finish it. Sidenote: I was doing all the "hard work", he didn't know how to code, and he calls himself a teacher... wtf).
Months go by, and a year goes round, in between these months, he spoke to me, that he wanted me that we kept working together, that we could renegotiate the payment (I asked him to give me my payment once the job was done). I agreed, but my uni residence period was coming along and I got an oportunity to go abroad to another country.
So there I was, in the need of money to buy my passport, plane tickets and other stuff, so I asked him for the payment.
Needs to be noted, that the last 6 months work was me doing tutorials on how to fucking use Linux, how to use PostgreSQL, how to fucking use CSS! He told me he would pay me extra for it.
The day came, and I received my payment... the exact amount we talked a year ago, I was like "Seriously dude?", but well, I needed the money and I didn't have time to argue, so we talked a little bit about me helping him and I told him "As long as I have time, I'll help, but remember that I'm going abroad to work for a small startup, so maybe I'll be up to my head with work" he agreed, we nod and then I left.
First week abroad came in and I was doing a shit-ton of stuff, then his first message comes around "Hey, I need more tutorials! ASAP! Before 6PM"
What.The.Fuck. I told you, son of a bitch, that I wouldn't be able to do them until weekend.. and it was monday!
So I ignored it, weeks went throught and my "angry mood" was fading away so I said to myself "Well, it's time to pick up that stuff again", I open Slack and I find a week old message with a document attached, it was a "letter", I just skimmed by it and read some keywords "deceptioned... failed me.."
Sure dude? Was I the failure? Becase, as far as I remember, you were the fucktard that didn't know how to fucking install a VM!
A week went by, and then randomly a friend of mine talks to me through Facebook:
E: Hey, how are you?
M: I'm fine, what's up?
E: What did you do to TEACHER?
M: Nothing, <explains all situation>
E: Well, It seems weird, that's why I wanted to talk with you, I believe in you, because I know you well, but TEACHER it's thrashing shit about you with all his students on all of his classes
E: Yeah, he's saying that you are a failure, irresponsible, that you scammed him
That moment, I for sure, lost all moral responsibility with him and thought to myself "He can go fuck himself with my master branch on his ass"
So when I got back to my country, I had to go around in school, avoiding him, not because I was ashamed nor anything by the way, just because I knew that If i ever had the disgrace to meet him face to face, my fists would be deep into his nose before he could say "Hey".
Moral of the story:
If you overheard that a teacher has a bad rep, not by one, nor two, but more than +100 people, maybe it's true.
Good thing my friends and others know me well and I didn't have repercutions on my social status, I'm just the guy that "fucked up TEACHER because I had the right and way to do it"4
So I work for a company that does outsource, this company is pretty nice, but I don't get to see it too often. The one where I'm outsourcing though is the one where I spend all of my time.
Now, this company is a kind of a startup working with AI and Deep Learning (but not if statements :o ), but I came here as a full stack python developer that should implement their AI modules into real apps (mainly web apps).
Everything sounds good untill now, I learn lots and I'm doing what I wanted: python development. The problem is: management + one kiss ass guy.
The amount of work that should be done and the deadlines that should be kept are so messed up that I end up working extra hours, sometimes even in weekend, just to get it done. I'm the only apps developer there, so passing my tasks is not an option. I tried to talk about this, but I was met with a "loser can't keep up even with these few tasks..." kind of attitude.
Moreover, there is a guy that would do anything for the boss's attention, so he speaks everyone there behind their backs (and we all know it, but he's the favorite and he actually knows his stuff so we can't do much about him).
Now the question: what should I do? I only have 5 months here (so leaving would put a hole in my CV, I don't even know what to answer at this interview question "why are you leaving"), plus that the managers from these two companies are highschool friends which means that if I go and ask for a different project, the atmosphere at work will change (maybe this is overthinking already, but I can't help it). Also, last week I could barely get through the days without crying from stress.
TL;DR: I learn a lot from this company, but the deadlines are killing me and my stress level is at an all time high. I want to leave, but I kind of can't because I want my CV to look good.
So yeah, this is my first real rant, feels good to put it out there13
INTERVIEW. It tells everything about the company. I recently applied for a "big" company for the position of ML Engineer. The Job description was like "someone with good knowledge of visual recognition, deep learning, advanced ML stuff, etc." I thought great, I might be a good fit. A guy called me the next day. Introduced himself as a manager of the Data Science team with 8+ years of experience. Started the talk saying "it is just an informal intro". But things escalated very quickly. Started shooting Data Science questions. He was asking questions in a very bookish way. Tells me to recite formulas (like big formulas). When I explained to him a concept, he was not understanding anything. Wanted a very bookish answer. I quickly realized I know more about ML stuff than him (not a big deal) and he is arrogant as fuck (not accepting my answers). Plus, he has no knowledge about Deep Learning. At the very end, he tells me "man, you need to clear up your fundamentals". WTH??? My fundamentals. Okay, I am not Einstein or Hinton, but I know I was answering things correctly. I have read books and research papers and blogs and all. When I don't know about things, I tell straight away. I don't cook answers. So the "interview" ended. I searched that man on LinkedIn. Got to know he teaches college students Data Science and ML. For a fee of 50,000 INR. It's a big amount!! Considering the things he teaches. You can find the same stuff (with far higher quality) free of cost (on Coursera, Udacity, YouTube, free books, what not). He is a cheater. He is making fool of college students. That is why I sometimes hate "experience". 8+ years of exp and he is such an a**hole!! BTW, I thanked God for saving me from that company. Can't imagine such an arrogant boss.
TLDR: Be vigilant during interviews. It tells a lot about the company.4
Fucking cant solve productivity problem. Since I was working as programmer, about 8-9 years experience, constant complaints about my productivity and some jobs even fired me for this. Only one job did not complain and I worked in it longest time but still I was worrying very often about my productivity. It is fucking annoying. Why others are productive and I am not. How the fuck to find biggest bottlenecks to know which to work on.
I know I am not knowing technology perfectly, and from time to time I get stuck and so I ask other people help, or somehow manage to find solution myself but it takes more time. But dont know if that is the biggest issue. Should I intecify my learning? I am regularly studying, and working with symfony about 2 years, so I think I should know enough to be productive even with those strugles from time to time. But maybe they are too often?
I have listened book "deep work" and basic thing I think from this is - to minimize disctractions and learn to focus very well. But to minimize like in this book, I should work alone in my room. And even then I would like each hour for few minutes to read some new or smth, which this book says is bad, but a lot of people do that and they somehow get away with it. Plus if I work alone in my room, my social skills might get worse, and we all need social skills, even programmers.
I so envy to others who know how to be productive. I would hate if the only thing to be more productive is to reduce quality of the code, make more bugs. THats fucking cheating system.26
The more I'm on here the more I remember all the shit I have had to deal with in the past.
Anyway, lets rant! I just moved cities after college to be closer to my family, I didnt have any work lined up at that stage but started job hunting the moment I was settled in, I did some freelance for smaller companies to stay afloat.
Eventually I got a job at this agency startup where "SEO" was there main focus, still very inexperienced they put me on frontend and data capturing but will teach me how to code using their systems in due time. At this stage I was getting paid minimum wage, but I was doing minimum work and it wasnt that bad.
A new investor bought 49% of the company and immediately moved into the office space to focus more on marketing (He was one of those scaly marketing guys that will sell you babies if he could get his hands on enough to make a profit).
This is where everything starts going to shit. He hires a bunch of "SEO Gurus", fills up the small office with people like sardines squished together. Development was still our main money maker at this stage, so there where 3 new more senior developers at this stage and I started learning a lot really fast.
Here are some of the issues we had to deal with:
1. Incentives - Great more money, haha! No, No, you where 5 minutes late so you only get half of the promised amount.
2. For every minute you are late we will deduct it from you paycheck (Did I mention I was getting paid minimum wage).
3. If you take a smoke break we will dock it from your pay.
4. Free gym membership to the gym downstairs, but you can only go once a week during your lunch.
5. No pay raises if you cant prove your worth on paper.
He on purposely made up shitty rules and regulations to keep us down and make as much profit as he could.
Here are some shitty stuff he has done:
1. We arent getting a 13th check this year because the company didnt make a big profit - while standing next to his brand new BMW.
2. Made changes over FTP on clients work because we where too slow to get to it, than blames me for it because its broken the next day and wants to give me a written warning for not resolving the issue Immediately. They went as far as wanting to fire me for this, gave me 1 day notice for meeting and that I can bring a lawyer to represent me (1 day notice is illegal, you need 5 days where I am from), so I brought a lawyer since my mom was a lawyer. They freaked the fuck out and started harassing me about this a week later.
3. Would have meetings all the time about how much money the company is making, but wont be raising our pay since no one has proven they are worth it yet.
4. Would full on yell at employees infront of the entire office if they accidentally made an mistake on a clients project.
One one occasion I took a week off for holiday, my coworker contacted me to ask a question and I answered that I will handle it when I am back the following week. Withing 2 hours my other boss phones me in a rage, "he is coming to fetch the company laptop from my house in 5 minutes, he will let me know when he arrives. Gives me no time to talk at all and hangs up - I have figured out what has happened by now so when he showed up he has this long speech about abandonment, and trust and loyalty to the company. So I pass him my laptop once he shut up and said: "You do know I am on holiday leave which you approved, right?", he goes even more silent and passes me back my laptop without saying anything, and drives off.
While the above was happening Douche manager back at the office has a rage as well and calls the whole office (25 people) to a meeting talking about how I abandoned the company and how disgraceful that is.
Those are the shitty experiences I can remember, there where many more like this. All of the above eventually led to me going into a deep depression and having panic attacks weekly, from being overworked or scared to step out of line. Its also the reason I almost stopped coding forever at that stage. I worked there for 2.5 years with the abuse.
I left 2 weeks after the last shit show, I am ok now and have my anxiety and depression well under control if not almost gone completely.
Ran into Douche Manager a few months ago after 9 years, the company got bought out and the first person they fired was him. LOL! He now has his own agency and is looking for Developers (They are hard to find he says), little does he know I spread his name far and wide to all and every Dev I knew and didnt know to avoid working for him at all costs. Seems like word of mouth still works in this digital age.
Thanks for reading this far!5
Udacity has launched understanding humans nanodegree register in that link it gets over by today.So please put all your current threads to sleep and start a task to understand humans.
Good Luck 😉😉3
I hate it when the college gives priority to project report than project. I fucking hate it. Line spacing, fancy borders, font size, institutional logo, who the fuck cares? All I care is what work is going on and what have we learnt from it. Fuck these faggots. For the past week I am more of a typist than an engineering student.
I got even angrier when the evaluators did not even open and go through the report.
for i in range(sys.maxsize()):
What the fuck is wrong with these kind of people?!
So I recently appeared for an android dev job interview in a start-up; the whole time the interviewer (he was the CTO) looked super excited and into my work. I am a fresh graduate with 0 experience in a professional working environment but have a history of a couple of successful apps on the play store since 3 years. The entire time we discussed future plans for the startup and how I was going to contribute towards it. He seemed very interested in my deep learning projects for android and wanted to have similar projects for his products. In the end, he asked me to develop some 'test' projects that can be integrated into his start-up products and told me he'll hire me if he finds it to be as per his need. So I worked on these 'projects' for a month and submitted it to him. He replied that he's impressed with them and will contact me shortly to confirm my job.
That fucker has been ignoring me ever since. He's not responding to any of my e-mails or messages. I feel like a shit right now. How to deal with these assholes?5
Got my first job and was given the temporare title programmer.
He said I could choose any title (with some relevance). Opportunity of a lifetime, any suggestions?
I will be doing some deep learning, UI, general front-end and visualizations13
At my current work (sports wear bla bla bla) we recently had couple of brands come by (136people) and had a presentation. One of the market lead peps stood and talked about future plans and projects in the following:
👨🏻💼MarketGuy: "we want to improve the e-shop service and direct booking system. Think about it, AI, machine learning and deep network, these are all out there and we should consider working with it!"
👨🏻Me: ... *Thinking* "buzzwords, buzzwords everywhere.. dude you don't even know how to excel..
👨🏻💼: *Continues babbling about website, Blockchain and AI together with sportswear and the future of working together*
MAH GAAAD (┛◉Д◉)┛彡┻━┻
I need a coffee.. ☕2
Just graduated, first real internship.
So basically I'm the only one who do what I'm supposed to do, nobody can help me because they are on project that are totally different. Even my superior who hired me don't know what my predecessor exactly did, he just gave me his gitlab and said "continue... Whatever this shit was".
So I'm alone and the code of my "predecessor" doesn't work obviously because the half of the files are missing, the code has no explanation and he's not joignable. I have to build an algorithm of deep learning from scratch and to do a presentation in one month to explain to everyone why I'm not useless.
Is it really like this everywhere?? Is it the reason why DevRant was created??
I read the quotes when I was in school like "oh no c'mon that really never happened". Foolish boy I was..
But there's nice coffee6
My 2018 goals:
1. Graduate from the Deep Learning Nanodegree.
2. Get better at Python.
3. Learn C++.
4. Learn more about Machine Learning and AI.6
Just installed Keras, theano, PyTorch and Tensorflow on Windows 10 with GPU and CUDA working...
Took me 2 days to do it on my PC, and then another two days of cryptic compiler errors to do it on my laptop. It takes an hour or so on Linux... But now all of my devices are ready to train some Deep Deep Learning models )
I don't think even here many people will understand the pain I had to go through, but I just had to share it somewhere since I am now overcome with peace and joy.3
Fuck NodeJS. I don't want you to be asynchronous sometimes. My gahwd I need like 3 deep nested loops just to get you to make a request and compile a damn JSON of requests.
I'm learning Golang goodbye forever node.15
So I am trying to implement a deep learning paper.
And I started reading, It's fucking unbelievable
First page: maybe I will get it in the second page!!
Second page: what did I miss from the first page?
Third page: Woohw, let me start over.
Now: I am reading about linear algebra and basic probability theories.
I guess this is is why not anyone can be on deep learning research areas and not used by many developers.4
My boi states that node's biggest issue has always been npm and the quality of packages. I always contradict those statements by saying that if one uses community standards and the best packages then one does not need to worry about the quality(i.e mongoose over some unmaintained mongo wrapper etc)
I sometimes catch myself finding that my way of thinking adapts better to JS than it even does Python (which is his preference for deep learning) and whilst there are some beastly packages for python in terms of quality and usefulness such as matplotlib etc that one can do great things with the equivalent JS.
I mean, tensorflow.js came from the same wizards that did tensorflow (obviously) and i find the functional approach of JS to be more on par with how we develop solutions.
I am no deep learning expert, and sadly I have no professional experience with machine learning. But I venture to say that we should not cast aside the great strides that the JS community has done to the language in terms of evolution and tooling. Today's Js is not your grandaddy's Js and thinking that the language is crippled because of early iterations of the language would be severely biased.
What do you guys(maybe someone with professional experience) think of Js as a language for machine learning?
Do you think the language poses something worth considering in terms of tooling and power for ml?3
Like an idiot I decided to continue to grad school directly after finishing my undergrad (which I finished later than usual because I switched from a different major) only because my university has a pretty big deep learning lab with important professors.
After a year in, I realized that academia isn't that interesting to me and I'm nearing 30 with no real job experience so I'm hesitant to drop out for fear of not being able to find a job. Meanwhile, I'm dreading every morning when I have to go to the lab and do some BS experiments instead of being out there building stuff. I bought the hype and now I'm stuck.3
Hey guys, does someone knows if Twitter colludes with other websites and/or services to collect data, because I thought that privacy-wise, Twitter wasn’t as bad as Facebook as I just use Twitter to follow youtubers and Donald Trump(to keep up with his craziness) and never post anything. But I just got a Python Machine Learning ad just. And it’s spooky because I’m currently (trying to be) learning Deep Learning and Google knows it (🤬🤬 you udemy ads) but Twitter!!?? Do they have a way to link my account??6
And for the first time I am delving deep into an open source project(Node.js). I wish to understand the source but it's just different. There are soooo many things I don't know. I hope this will be a learning experience and I would finally be able to contribute to an open source project. 😃2
Hi there fellow Devranters,
I am new here but my problem is pretty old. You see i stumbled into coding totally by accident. That was about 5 years ago. I have been learning ever since.
But the problem is that each day I just feel less and less of a programmer, more of a failure. I started with python, from sololearn to various ebooks.Then C++ and finally Ruby. But I still feeal weak.Despite the projects that I have worked on I still don't feel good enough. Most especially in Ruby.
I have a friend who is also into coding and coincidentally started about the same time as I did.The difference is that he learnt at university and I am self-taught.We used to talk a lot but we don't anymore,I feel too ashamed, an impostor even. I am scared he'll ask me something and I won't know anything about it.And I once taigjt him OOP. Right now I can't even code a hello world program without reading a whole ebook on python just to be confident.
We had dreams with my friend on a dozen or so projects that would have put us on the software dev map, but I keep avoiding him so much we have barely started any. I am afraid he'll find me too amateurish to work with.
I learn everyday to expand my knowledge,I have subscribed to a gazillion software related stuff on all social media platforms I happen to be in.But deep down I feel insufficient. I have been going through rants since the few hours I joined and it doesn't sound gibberish to me.Neither does other people's code when I go through it.But I am ashamed of mine I end up deleted after it runs successfully.
I just don't feel like a software developer, I don't even know what it takes to be one even. I learned 10 languages focused on 3, laughed at memes only devs get, used linux and loved it too but still I feel like an impostor. I used to be happy about all the things I taught myself, I onced dreamed of working at Google and later having my own startup back home.Now my friend and a couple of his friends have a small start-up and I feel ashamed of myself.
I don't feel like what I know is enough and learning only makes me feel worse, so bad I am scared of coding again now.Yet I just can't stop learning, I feel incomplete when I don't do anything dev related,but I don't even feel my speed is fast enough when I type on my keyboard.
Linux has been around since back when dinosaurs punched holes in cards, but for some reason it still takes a few hours of googling and error debugging to do something as basic as connect to a wpa2-enterprise wifi network.
What the fuck? Where's the "connect to any standard work or school wifi network" command line utility distributed with all os flavors? Why can't I just put in a username and password and be done with it instead of sudo editing networking adapter configuration files manually?3
Age 8 - Gets first computer and struggles with dial up Internet and my parents yelling at that they ended to use the phone
Ages 12 to 18 - Gets first laptop, starts messing around and interested in websites, gets involved with SMF, and open source message board system written in Php, and starts helping people out, eventually getting paid work for setting up websites etc.. which lead onto learning html/CSS and picking up bits and pieces of Php (and also Photoshop/Illustrator etc..)
Age 18 - Goes to college to study Multimedia, refreshes knowledge of HTML/CSS, learns a bit of Actionscript and some PHP
Age 20 - finishes Multimedia degree, ends up working as an IT consultant for a small business, which leads me to pick up a bit of bash scripting, small hit more PHP. Leaves this after 3months and decides to do a small Software Dev course. Get my first taste of Java and Visual Basic there
23 - After 2nd year of college get taken on an internship with a large multinational where I learn and get hands on experience with Angular, JS, Coffeescript and C#
Okay! Got my numpy pdf, theano pdf and my theano deep learning pdf! It’s time to get reading for 1111111111111111111111111111111111111 hours. Wow! I’m really getting deep into “deep learning” learning! Ok, I’ll quit now...2
As a junior dev from a sysadmin and security background, this is a list of software development concepts I never seemed to truly understand but hope to(rated from most intimidating to least):
2) Machine Learning, Deep Learning and A.I- too much math that fucks with my brain.
3) low-level programming(kernel,drivers) - sounds extremely interesting but the code in assembly/C/C++ looks like Linear A Minoan hieroglyphics.
4) Rx(insert language here) - I never get why it is useful or why someone invented this. Seems interesting though.
5) Code Reflection - sounds like Thelemic magick.
6) Packaging, automation, build tools, devops, CI, Testing -seems too complicated. I just want to run an executable at the client or make a web app that does something. Why all this process?6
That moment, when you meet someone who haven't written even a simple if-else statement in their life and want to work on Deep Learning algorithms using TensorFlow. World is filled with so many ML crazy peoe.2
I am planning to learn machine learning and deep learning. I am quite comfortable programming in c++ and python, what would you recommend would be a nice starting point with more attention towards practical stuff.8
This is a university, a Research and Education institution. Around 3000 employees, maybe 150 working at the ICT department. About 30,000 students.
Researcher: "Hi, we're looking for a place to backup the data from our AI/Deep Learning research server. We've got about 8 (eight) TB."
ICT staff: "Sorry we only do Enterprise IT, we don't do Research IT3
Nothing makes me not want to take a full-time job at your company more than having to go through IT tickets every quarter year when my password expires to actually change my password. Why have a fucking self-service portal for employees if logging in with an expired password doesn't work and the reset password link tells me that I need to log in to enroll with security questions (???). It feels like these websites are glued together with sticks and spit and there's a million of them each sporting one specific purpose! I have to go through this shit multiple times since I'm an intern and I didn't have access to my account through the course of the semester. Get your fucking shit together!1
What I have learned from neutral networks for my life.
It's already a year that I'm familiar with NNs. I did not write anything serious and did not learn it that deep. But, actually, the basic knowledge gave me an interesting view to my life. I just want to share one fact with you.
There is a learning speed in NNs, which specifies how fast does the network learn. If it is too high, any new information will be accepted very easily but will wipe the past of the network's knowledge and if it is too low, the network will hardly accept new info but remember everything. When people born, they learn everything very fast and by the age they become more hard-learners Here, I've learned that you should not live in the past, and not for the current day. You just have to keep the balance.1
So, my job title is sql Developer, but recently I’ve been balls deep in A .Net application, not an issue, but there is a huge learning curve.
Anyway, earlier in the year I spent about 2-3 months manually entering price list and exchange rates into our ERP system. I proposed an app to help make this process easier, boss was happy so I knocked up a 20+ page software design document, covered everything, and laid out a road map I.e v1 would just be MVP, and additional nice to have features would be added incrementally.
Boss didn’t read the document, and didn’t mention it again.
5 months later I get an invite to a meeting to discuss my progress, which is this afternoon.
It was always going to be something I worked on in my spare time, so I currently have 5 models to show her.
Why not mention something for months and then ask for a progress update out of the blue?
My boss isn’t a dev so will just bury them in technical details which she doesn’t really need to know1
I need help for choosing laptop.
I will need it for deep learning.
DELL G7 7588
pro : i9-8950HK
gpu : GTX 1060
ram : 16 gb ddr4
ssd : 512
hdd : 1TB
your reviews please42
Started doing deep learning.
Me: I guess the training will take 3 days to get about 60% accuracy
Electricity: I dont think so! *Power cut every day lately
My dataset: I dont think so! *Running training only achieve 30% of learning accuracy and 19% of validation accuracy
Project submission: next week
The gap of data science in industry and academia is so large. As a data scientist in a large financial company, I see that people are still using traditional models such as linear regression and SVM, while people in academia keep inventing new concepts and techniques such as deep learning.
I am not saying that we should completely embrace deep learning, or stick to classic methods. But I just feel so surprised that the gap is so large...Sometimes I am even thinking whether I am doing the right "data science"...3
Teacher asks me to join him for a web app development.
First stages, I have to dig deep into a framework I don't know (He doesn't know it too, and I know that learning is the only way to step through)
Month goes by, began developing some mock-ups, he says he didn't like it, sends me a website made in fucking Wix. Seriously?
Fast forward another month, tonight I'm coding some stuff, he stills doesn't know how to fucking use Yii. fml4
I'm writing all the dev things I know in a docs site as a means to be hireable should I need to switch jobs.
I'm not gonna go too deep on how I'm doing it. One style I'm enjoying is making every article take only one page long, and if they take longer, maybe consider breaking it into another article.
Fuck long articles. Yes, that's a bit autistic.
But I will describe the challenges I'm finding (which are quite many) in further detail.
One of them is that words can be ambiguous. Production can mean the production environment but it can also mean production in plain english.
And there are tons of cases like this.
Because of this, I felt a lot of confusion in my beginner days. So it my objective to write this as to prevent as much confusion as possible.
Granted, I don't want to write "development for dummies". Software is complex. But because it's complex on its own, I don't want to add complexity to the learning process through obscure language usage.
"Fine", I say, "I'll disambiguate". But this means I find myself branching out very often into fundamental or commonly used software terms like "framework", "model", "scaffold", "algorithm", "viewport", "breakpoint", etc.
Another challenge is reaching good levels of completitude.
This means I have to explain that obscure CLI flag I never used in my life.
If I don't do this, then what makes my docs different than these superficial dev.to or medium posts? Nothing.
But trying to explain EVERYTHING about a software can generate a lot of frustration: I never finish.
It also makes me wonder "do I even know shit?". I think some amount of insecurity is healthy and pushes myself forward.
But at some point it's kind of making me feel like shit. Maybe I just need to keep learning.1
"We are applying deep learning, NLP, machine learning, Big Data frameworks and other technologies to produce outstanding fintech products in areas of robo advisors, stocks and cryptocurrencies analysis, digital assistants, prediction of customer behavior, deep learning analysis of alternative data (satellite images) and other areas."
So it's 5 am and a random Snapchat adds me. Of course I know it's a bot. I tend to answer these because i'm curious of how clever the ai has become in these scams. Still hasn't improved in like 5 years. Here I am telling this ai how shitty it is at it's job and telling it how it could be better by using deep learning to copy the way others talk and actually be convincing and then I think to myself, "well damn, why don't I just build a better ai." Seriously thinking about it. Ended up leaving the chat after telling the ai to inform it's lizard overlords I am for hire if they want a better trap.
Learning Image Processing,Deep Learning,Machine Learning,Data modeling,mining and etc related to and also work on them are so much easier than installing requiremnts, packages and tools related to them!2
I study both mathematics and computer science at Delft university. There's a difference between the approaches these two studies have.
Mathematics is usually about going to lectures, learning complicated stuff there and then using the obtained knowledge in a exam at the end of the course.
The CS courses are kore about engineering. They have practicals way more often than the math courses and the exams usually are of les importance.
It feels as if the "academic level" of the CS courses is lower. In math, we learn the real deep, abstract matter, while CS is more about "tinker up something nice in the practicals and you'll be fine."
I'm not sure if either approach is better, but I'm sure I like the maths version more. The CS approach is more HBO-like (HBO being the lower-level universities)
It is even that, generally speaking, the people who study maths seem more serious about studying than the cs people.
Not all of them, and no offense meant, just an observation.
Well, that was not really a rant. If you read up to here, I'm curious what you think about this.3
Aren't u tired of machine learning, deep learning, IA, etc in news?
Everybody things that because I'm a programmer I should be updated about this things3
I am 21 years old and I work on Machine Learning and deep learning. I have this problem and any advice on this is highly appreciated:
Whenever I sit to code, I put on some light music over the headphones. As soon as I sit, my parents think that I am wasting my time on YouTube or watching a movie. It is not easy to convince Indian parents. What should I do to get into coding without being interrupted or being falsely accused of enjoying in front of the computer? (Locking the room with be disastrous and I have tried it 😅)
Please help 🙏8
The taboo of not finishing.
(As I prefaced to many posts I made, don't take this too seriously)
It is very normal in the programming world to get recommended to finish projects.
But I was wondering "what if you don't?".
Of course, we can agree that having little patience or persistence is not good for any endeavor.
But what if this recurrent focus on finishing is also bad?
Granted, I have started dozens of things and only finished one or two of them and none have become popular.
So there's not a lot of support to back my take.
But I definitely learned a lot from these projects. And I definitely had a lot of fun at some points.
In fact, I think if I had switched more often early on I would have been less miserable, and maybe I would have learned more by the virtue of not getting stuck with some project.
Of course this applies as long as you stay within the same field; it doesn't help learning gardening one day but karate the following.
But even then, there are so many hobbies in life that the chance of finding the one that you love and are the best at are very slim. So switching out of the least pleasant ones might bring you to a favorite one.
But, let's go back to programming.
Here, people recommend finishing things as means to become profitable. If you want to live as a gamedev, then you need to sell games, and to do that, you need to finish games.
That is understandable.
But if gamedev isn't your main profit, why is finishing games a requirement?
What's the point of publishing a game that you know looks like shit?
Why? Why should you put time and energy, pain and stress, all the way through the end only to finish or even publish a game that you can feel ashamed of how awful it looks? (because most 1st games look awful).
Why would you ever want to finish something that looks horrible?
First tries are always terrible, and that's fine, nothing wrong with that.
What's wrong is this sheepthought that you should publish to the public every turd that you can produce in your early learning stages.
I've been a programmer for almost 8 years now. I'm not the best out there, but I consider myself ok.
And considering I had some pretty deep depression pits thanks to this mentality, here's my advice to folk having stress with unfinished projects: don't give a single fuck.
If a side project has become stressful, shelf that shit, maybe tell someone about your issues with it. But don't care much about it.
In fact, if you manage to finish a project but it has costed you a great deal of stress, maybe that should be the shameful thing.
Life is too short to waste it considering suicide because you're not a prolific programmer.
And i would argue that iterating 100 times on different things is far more productive (and fun) than fetting stuck or spending shitloads of time on the first one, even if you don't finish any of them.3
(disclaimer: this might sound like a 13 year old guy just coming out from a theater after watching matrix but in some ways, its not )
Why the fuck should i feel discouraged from getting into ml/ai by all these smart ass people continuously taunting that "yeah, you might get into ml/ai but you won't get successful if you have a bad maths"
Ok, 1) i totally agree with these guys. Checked some pages and everywhere itse regression ,linear something, nlp's and neural networks, which even by the name sounds full of maths. BUT here is a thing:
1) All i can think of this as an ocean: just like web development is so vast, android is so vast, i can assume this to be so vast too.
BUT I WANT TO APPLY IT, NOT MAKE IT! why? Because that's what a beginner would do. It's data "sciences" and ppl who are deep into it will be called data "scientist" , a fuckin doctorate profession!
And toda i see it at so manypaces : from alexa playing song to google searches , youtube recommendation, hell even coffe machines are getting smarter!
I like these things and want to apply them as a developer to my apps and websites. But tell me, do everyone making a scanner or search engines learns regression algorithms and lambda calculas?
I love automation. So much that if given a chance, i would make robot to fuckin suck me off! From smart searches , self driving cars, map routes to latest apps with awesome pattern recognitions, i love them all. What i want to do is to look at some codes, tweak them for my usage and make something extraordinary and automated machine learning from ussr's interaction. I don't think my interest to learn applications of a technology and not the technology itself should be considered wrong because both are a carreer in their own! Learning ml/ai vs learning their applications is like a learning physics vs learning furniture designing: one being a part of other but completely existential on its own .
Thus the question comes what should i do? I got attracted by ML's achievements and fireworks but every ml course wants me to be the cracker maker! I want to get into data sciences bcz of its achievements ; and i want to replicate them again nd again until get termed as a professional nd if i feel the urge, maybe re visit my collage books and read maths and get into nlp designing (or whatever)
Where to get knowledge of this "life automation technologies" / data sciences (if they both are rea equal) and knowledge of such "ml toolkits" , if its really possible to be into ml without maths?8
Ok, so I need some clarity from you good folk, please.
We have had a number of chats about what I am best focusing on, both personally and related to work, and he makes quite a compelling case for the "learn as many things as possible; this is what makes you truly valuable" school of thought. Trouble is, this is in direct contrast to what I was taught by my previously esteemed mentor, Gordon Zhu from watchandcode.com. "Watch and Code is about the core skills that all great developers possess. These skills are incredibly important but sound boring and forgettable. They’re things like reading code, consistency and style, debugging, refactoring, and test-driven development. If I could distill Watch and Code to one skill, it would be the ability to take any codebase and rip it apart. And the most important component of that ability is being able to read code."
As you can see, Gordon always emphasised language neutrality, mastering the fundamentals, and going deep rather than wide. He has a ruthlessly high barrier of entry for learning new skills, which is basically "learn something when you have no other option but to learn it".
Any thoughts, people? I would be interested to hear peoples experiences regarding depth vs breadth when it comes to the real world.8
A webcrawler that uses deep learning to find realy bad small and medium business websites. So that you could sell them a new shiny website.4
I was once working on a deep neural network project(few years back when deep learning was just gaining momentum) and my project guide(alloted by the college) told me that this technology is useless and will be obsolete in near future. I don't know why he said that. Till this day I think what was the reason behind him saying that.
Now watching so much research done in this field, he might be realizing how much wrong he was.
Past week our Neural Network professor told us after the lecture that the colllege is taking steps for investing in Nvidia Digits DevBox. At first i didnt knw what it is. I googled it and came to knw that it is a fucking beast! Those specs man!!!
Its nice to see that your institute is taking steps to bring latest technology for students.8
Learning to tech to speed up learning.
Using a new cooperative learning technique, AI Lab researchers cut by half the time it took a pair of robot agents to learn to maneuver to opposite sides of a virtual room.
A combination of deep learning and reinforcement learning algorithms are responsible for computers achieving dominance at challenging board games like chess and Go, a growing number of video games, including Ms. Pac-Man, and some card games, including poker. But for all the progress, computers still get stuck the closer a game resembles real life, with hidden information, multiple players, continuous play, and a mix of short and long-term rewards that make computing the optimal move hopelessly complex.
Image: Dong-ki Kim1
So I'm in a scenario I'm uncomfortable, need some encouragement from fellow devRanters. (Looong post)
I've been working at this startup for about 10mths (since I graduated). They have been really good to me since the start, and overlooked some fuck ups I did at first.
But now I've been way more experienced , picked it up really quick. And I've basically redesigned several of their admin solutions and data products. Also, I'm basically their entire data analysis team now. I do backend (node, PHP, MySQL) and analysis for them (stats, deep learning, python, big data packaging for clients).
But seeing as I've moved in their company, and have been consulted on several major decisions, as well as built a really good relationship with some of their clients. I still haven't seen a raise, moreover I've been told that I'm expected to work from 8am to 5:30pm (9.5hrs no overtime pay). Which really pisses me off, since I know I'm worth more than what I'm paid (about 40k a year).
My brother (who's also a dev) suggested to tell them that I'm not happy at work due to this. And quit if they don't react well.
How should i bring this up? Should I really quit? This is all new grounds.8
Bootcamps get you up and running in coding quickly. If you are a programmer, companies are only interested on how quickly, error free and cheaply you produce marketable output. Bootcamps enable this.
More or less you are not more than a former assembly line worker putting parts on a car platform. Your value is not very high as you may be exchanged at any time at their will.
Nevertheless, you can earn money quickly. You trade in your youth and time which might be a dead end in the long-term. Trends go to machine learning, artificial intelligence. They will not need Bootcamp people and code workers.
It is better you set up Bootcamps and sell them versus absolving this. Like selling shovels during the gold rush, but not working in the mud of Alaska by yourself.
Your choice is: Making quick money, which fades anyway; or striving for the long-term future proof career.
C/S degrees from Technical Universities of reputation give to you the right direction under a strategic consideration. Companies which pay well, or freelancing with a solid acknowledged background, will always look for top graduates. People from Bootcamps are just OK for hammering assembly line coding. Even worse with SCRUM in one noisy room under enormous team server pressure controls, counting your lines of code per minute, with pale people all around. And groups of controllers never acknowledging nor trusting your work.
To acquire a serious degree, a Bachelor is nothing. Here, in INDIA, Bachelor now is what a former high school grade was. You must carry a diploma or Masters degree combined with internships at big companies with high brand recognition. This will require 4–6 years of your lifetime. You can support this financially by working part-time freelancing as making some projects front- or back-end web, data analysis and else.
Bootcamp people will lose in the long-term. They are the modern cannon fudder of software production.
It is your choice. Personally, I would never do Bootcamps. Quality and sustainability require time, deep studies and devotion.
HEY ya'll I'm a programmer in python or at least I know the basics. Well I want to get into deep learning and nueral networks and I was wondering what tools should I use because I'm already using pycharm professional as my IDE and I'm playing around with pytorch.9
We have been at a university of applied sciences today with our class.
It was kind of ok. I did expect more surprising things there. The whole building was smaller than our college (not the same as in the US). The rooms, where profs tell you things with a series of rows of seats, were dirty and pretty much used to the point that the seats are about to break easily.
I was expecting the university to be kind of the same as the universities you see in the movies lol.
It could have at least been bigger than our college and more "modern" than our school.
Anyways, let us get to the point here.
We were first in the foyer and afterwards in their main lecture hall.
We were introduced to the day's plans by a team of engaged students from different study programs and the president of the professors. Yada yada yada.
We got the full program in each room and each individual time span filled with study programs on a sheet of paper.
I did select pharmacy, media production, architecture, data science, applied computer science, computer engineering, mechanical engineering and future energies.
Pharmacy and data science were the most interesting study programs to me. I have asked one of the professors if deep learning was a topic for bachelor students, as well.
He said that that is only the usual case for people who got a promotion.
As an example he told me that yesterday he was at a conference hall with 10.000 people in which he gave a talk about deep learning. "Most of them were professors" he said. "Since this study program is new, it might change in a few years" he added to his conversation.
It is quite hard having to decide now.
Geo informatics and Aerospace Engineering did sound interesting, too.
There are a lot of things I would like to study at the same time haha.
Idk if I should just pick mechanical engineering first and add one or two after it to it. But that would take a lot of time. Geez.7
I was studying a lot the last year, i learned a lot about Machine Learning/Deep Learning, Data Gathering, Data Analysis, ETL, Model Architecture Design, Training, Fine Tuning, Backend Development, DataBases, API Development, ORMs, Rest, GraphQL, OAuth, CI/CD, Docker, Deployment to Production environments like Heroku, Git and more stuff i dont remember while writing this. I built and keep adding stuff to my Github Portafolio.
Im not able to get a job. I started looking for jobs as Data Scientists, no response never. I take a look at freelancer sites, nothing seems to fit my skills. And when there is a minimal fit, they always want a Full Stack Web Developer, i dont know Frontend Development, i dont like do it.
Dont know what to do or how to land any job.
My options aeems to be:
1.Learn Frontend Dev and work as Full Stack in underpaying freelance jobs
2.Keep applying to Remote-Only startups, but they still wants people with 3+ years of experience.
i cant work in my city, here are not any company startup hiring no one, we are 30 years in the past here.
What you do in my place?10
Come to a weekly deep learning meet up this morning 8.30AM. The event start at 10 AM. While waiting I read news and play some game. As time near 10 o'clock I had strange feeling: The guest room so quiet, just me and 2 security guy.
Okay I think comittee that run this event a bit late because of traffc jam and I wait more. In the end the committee didn’t even show until 10.30AM. Later I found on another data science group today's event is postponed and I go home.
WHY DIDNT YOU GUYS MAKE ANNOUNCEMENT ON SLACK? YOU WASTE MY TIME WAITING 2 HOURS2
Giving a tensorflow workshop and the thing people struggle the most is the Linear Algebra behind it... it is only gradients in tensor and some matrix multiplication.
My recommendation is: do you want to work with Deep Learning algorithms? Y'all need Linear Algebra, not PhD, just a bit!
I heard you like bellman equations...
so we put a bellman equation in a bellman equation, so you can maximize while you maximize
When professors rely on YouTube to teach you the syllabus, you know this is our education system **
Designed a person detection and tracking algorithm based on RCNN and lukas-kanade object tracking algorithm in openCV python.
Need help in cases of occlusion any suggestions?4
Does gradient descent in artificial neural networks apply the most changes closest to the input layer?6
Actually build a deep reinforcement learning algorithm. To play games for me and watch, or some other goal. Actually I'm still looking for a fun, interesting, and realistic purpose for this algo :)
Hello everyone. I'm getting interested in neural networks and I am trying to install the TensorFlow machine learning API using Python's pip package manager but it gives me an error saying that the package couldn't be found. I made sure that I spelled everything correctly and tried using VirtualENV to install it as well, and I uninstalled Python 3.7 and installed 3.6.4. Could anyone help me?4
Here's a fantastic video for all you deep learning enthusiasts:
Matt Parker shows how a pile of matchboxes can actually learn to "play" tic tac toe!1
She: Hello, I am ABC from XYZ. We saw your profile and interested to discuss an intern opportunity with you.
Me: Yes please.
She: So can you tell me about your current projects or work.
Me: Deep learning and blah blah. I am interested to work in cryptography or deep learning based work this summer.
[15-18 Mins Discussion on project]
She: Sorry but we are looking for Web Developer for our website to work on jQuery.
Me: oh! It's okay. [ fuck 😐]1
Anyone know of any GPU accelerated Machine Learning libraries that DON'T need Python, something maybe using C/C++, C# or Java?13
My job hasn't started yet but I'm already learning to send emails to 5 people right at the same time while buried deep in paperwork.2
I asked my team-mate ."did you run the best model for testing"?
He said:- He said "I ran the most recent model "
I am like:- OK . Thank You
Hi everyone. I'm sorry to take up some of your time. I've recently moved out and am now living alone (broke up with my gf of 3 years). After all the work that I put into moving out, I'm out of energy and I can't find it in myself to do what I want to do. I feel a bit trapped and need some help. If anyone knows a way out of this shithole I put myself into, I'd greatly appreciate it.
I'm also having network issues and, on top of that, I can't install CentOS 7 on a smart array... Not so smart after all, apparently.
I'm generally feeling like I've made a bad choice, but, deep inside, I know I want to focus on work and learning.
Any tips appreciated. Thanks!11
Whenever I start talking about machine learning the first question I get from the pretentious ones is, "Is it supervised or unsupervised classification?"
Trying to figure out the right version for Microsoft Visual Studio, Tensorflow, and Nvidia CUDA Toolkit has got me reaaaalllyyyy messed up!!!
Like the fuck!? One thing doesn't support the other's current version. It's like I'm playing a "version matching game, fucking candy crush shit!
It's so effing irritating!!!
I will start my master in computer science at the end of 2018 and I am looking for a new Notebook that I can use for my studies.
I focus on machine learning/deep learning and I rather use a linux/unix based OS than windows.
The macbook pro 13“ or something similar of size would be my choice.
So I wanted to ask if anyone has any experience with apples macbook pro or some similar model of another manufacturer, which works well with linux distributions in this field?
My budget is about 2000$7
I see people’s Deep Learning project organization and library usage prowess on Github and I have fucking no clue where they learnt these ingenious tricks. All I can think of is learning from looking at other people’s GitHub. Is there a better way??6
I was recently playing max payne 2 on my pc when this colleague of mine comes up and boasts "You playing max payne now?? I have completed this game so many times, even in the hard mode. Which mode are you playing in" (I was playing easy -.- )
But then it struck me. how cool it would have been, if we had a chance to take a decision at some point of our life , to continue the next phase in easy medium or hard mode. The harder the mode, the bigger the prize, but its not that you are suffering by the consequences of taking easy mode.
Like take college for example. Instead of companies deciding the quality of a candidate based on popularity of their college, they would take based on the mode of education they took for various subjects.
- The education mode system would be something like this: at the end of 6 month an exam will happen as usual
- the easy mode of exam will have just the lighter , more basic syllabus and lenient checking .
- the medium mode will have slightly more research based questions from the a more standard version of the previous syllabus and unbiased checking .
- the hard mode will have deep knowledge requirement professional questions and strict checking.
- students willing to dedicate heavy time to their choice of subject will then have better opportunities at big companies, making a fair ground for all.
- student more focused on non academic/ specific topics could take easy mode for most of the subjects, and focus on the career of their choice. They will still have a backup to apply for jobs requiring knowledge of certain subjects , but for lower wages( since they took the easy mode for those subjects they would be learning the required knowledge in the company, working as proxys/junior devs)
what do you think?3
Deep learning. Working on an image classification problem for a big company. The "boss" ask me to teach an AI to classify images into a few classes.
"Mmm, ok...I just need to create the dataset and then build the AI...so.."
Where is the problem??
The problem is that the classes are so perfectly similar that no one knows how to help me create the dataset and I have to do it alone.
That's how you spend your weeks in a loop where you look at thousands of images over and over just to have something decent start your work.
After that I felt like...
"I'm the hero they deserves, but not the one they need right now" - Cit2
I think I'll regret choosing Computer Vision with machine learning for my final project ...
Well ! Just need to find a practical application responding to customer needs and start working !2
The first one was changing the main topic of my research activity, from distributed systems to AI/Deep Learning... Then moving from academia to companies, two very different worlds and two very different approaches, but I still like to think that my formal background is driving my decisions and helping me, even with everyday problems
So, I started fiddling around APIs which returned data in JSON and parse that data in PHP and it feels so good.... Past 3 days I've been in deep learning PHP and practically $this is the best thing....
I need recommendations for such APIs, so far I've used
1. Chuck Norris Jokes (http://api.icndb.com/jokes/random/)
2. User's IP Address and details (http://ip-api.com/php/)
What would you recommend, let me know..1
Machine Learning and Deep Neural Networks in particular. More job offers to pick from in upcoming years for me :P
I'm new in deep learning world, I want to develop a project regarding live text detection on mobile camera (without taking an image by the camera), can I do it by the tesorflow object detection api ? or with anyother tensorflow api or with opencv, which way is best? other suggestions are also welcome.
How much time will it take to learn docker?
I want to containerize python deep learning models, which you tensorflow and mxnet.7
Can anyone suggest what should a 16 year old python programmer from India should do. I think ml and deep learning or hot right now so I am learning those. Any suggestions, thanx in advanced 😊4
Have any of you moved from Web application development to more deep and complex stuff? I mean without finding it boring. I just moved to data and analytics at my job. And in a few months we will be getting into AI and machine learning. I just don't know if I'm going to find it boring or not. I really enjoy and still love web development.1
I'm looking for a image segmentation and classification web based tool to create ground truth for my dataset in next Deep Learning project, what tool do You use?1
A note to the team designing recommendations on google ads:
Just because I search for deep learning concepts for personal learning, does not mean I will be purchasing every paid online data science course on the planet.5
Trained a hand digit recognition model on MNIST dataset.Got ~97℅ accuracy (wohoo!).Tried predicting my digits,its fucked up! Every ML model's story (?)3
Ehh... too deep too fast?
What's a good book for learning Tensorflow... and maybe ML Basics through usages/examples?
Can I use TF, ML without the math/lin alg? cuz idon't have that and don't really wamt to learn unless you can convince me otherwise **through usages/examples**5
peeps be developing next-gen games, hooking up message queues with different services and building something along the lines of distributed deep learning while I am confused trying to validate an image file .-.
I've been wanting to learn machine learning (ANN specifically) for a while now. I know the basics; neurons, synapses, backpropogation, gradient descent, etc. Anyone else interested in learning with me? Might be worth noting that I want a DEEP understanding of them, so I don't initially want to use libraries like TensorFlow. I want to build ANN's from scratch to ensure a thorough understanding.5
There is fun in using Google Colab.
They unveiled free TPUs on Colab.
It took me an hour of really slow training to realise that even if TPU is enabled, you have to code it explicitly to enable it.
After an hour I realised I was using only the CPU 😂😂
**crickets in the background**
#PytorchUdacityScholar Well this time I won't give up... #Second Scholarship from Udacity #MillionThanks🙏🙏🙏🙏 to Udacity India Facebook #artificialintelligence #machinelearning #deeplearning3
The most stressful day of month.
I need to put hours into hour counting programs so computer can analyze those hours using deep learning algorithms and pay me a wage I don't deserve.
Each program work differently.
One of it works inside the local company network.
Other one I need to connect outside from company network.
In all of them I can't make mistake or I need to write to someone to fix my mistakes.
One of this programs use java applet, other is simple php website.
One of them blocks row in calendar when I click so when I login again and click I can't edit this row because it's locked by me who is editing this row.
One of them is requesting me to provide my work in minutes.
I need to follow strict procedures to report any holidays or national holidays that I need first figure out when they happen.
Wish me luck.1
I am a student with a full time job in React/React Native. I am thinking of learning something new. What should I learn Deep Learning or Web Assembly with Rust?1
Im seriously thinking about creating a proper deep text generator for farewell, wedding and birthday cards.
Do you think I should waste my time on that?2
Am I the only one who want to learn programming and can't stop overreading about it and other connected stuff?
I feel I'm in deep darkness with my learning. I'm still writing those sample codes from books/video courses and can't motivate myself to come up with a piece of software to write myself.
It's some kind of loop which I can't break and move on.
I quit my electrical engineering studies after two years, to start IT studies, because I felt IT stuff is something I want to do rest of my life. Now, after first semester, I feel I'm in the same place I was before starting IT studies...
I'm lost devRant... Any ideas for helping me changing my life?2
Can anyone suggest me ML and deep learning projects as my final year project..??
any suggestions .... appreciated7
Decided to continue my studies because I really wanted to go into Artificial Intelligence. Even though I've learnt some here and there in Machine Learning, Deep Learning and its various modules of supervised and unsupervised learning but I felt like that I'm not getting anywhere and need some proper guidance. Decided I could take a Masters in this specific field with a lecturer's guidance.
Enter my boss, I've asked for consent if its OK for me to continue my studies. He goes on and on that employees are valuable and that we're at the start of a big project currently (even though I've asked that I'm thinking of taking the next intake in September 2019) and couldn't afford to lose my time to studying A.I. Not only that, he insulted that A.I. is useless in a Fintech company. And instead he wants me to learn about blockchain tech.
Who is the choosing beggar here?
I mean OK, I get it. I've seen mature students who took on part-time studies to get diplomas and degrees and I understand the huge stress in assignments and research. I'm well aware of that and I've done self-paced studies for a long time now. I believe I can handle the pressure and time management in juggling between work, study and life through past experience and observation. How is this any different aside from doing towards a degree?
He even felt threaten that I might leave and get a better and different job after I graduate. Does he think I'm stupid to tell him about my intention if I knew that I'll be getting a better paying with more perks job than what I already have with him? I didn't want to leave my good job as there's loads of things I want to do for the company. But since his attitude towards my education pursuit shows, I think I just might. I don't know. I like the company I'm working for. Just not for him.3
Glad ml is being used to save one's ass by switching screen when boss approaches!
At what point should I feel my skills are strong enough to apply for a junior front end position? I'm going to be getting my bachelor's in May for CS and currently I am pretty familiar with HTML/CSS/JS, understand jQuery and bootstrap, know some basic node/express/Mongo (I know, I'm learning postgres, calm down), and now I'm kind of deep diving into angular.3
So I was asked by a client to make an app similar to prisma(not exactly that but let's say a caricature app) and I knew I have to research a lot.
Now I have been loyal to PHP for over 5 years so I first tried with GD and imagick but the results were not very good, so I thought let's try opencv. I didn’t wanna make any compromises so I didn't go the bridging way, I worked on native python even though I am a newbie in it. I was fairly impressed with the cartoonizing results but others weren't. Soon I got to know that this would take much more than simple filter combinations or matrix manipulations.
I read about prisma and got to know it uses deep neural networks for the same.
Now, in the five years I have learnt almost all the things a run-of-the-mill "Full stack Web Developer" should know.
I have a fair knowledge of PHP, many of its frameworks, many js frameworks(obviously jquery), I have a very good understanding of CSS and its models, I have worked on some cool algos and found solutions to many problems but I haven't gotten to stage where I can implement neural networks/machine learning in my projects.
It just scares me.
A little back story: I have been the CTO of a small scale company for about 1.5 years now.
So all this got me to asking myself should I just step down from the post to a position where I can learn more skills. Managing takes a lot more time where I can't learn a lot. Sure I learnt some other important things but not as much tech knowledge as I would have in a more basic position.
I know not many of you must have read this far, but if you did what do you think I should do? Really depressed at the moment.5
I am using python scripts for mathematical computations and deep learning wheres spring to build the server and now want to handle the scripts from spring guess what scripts were in python 3.6 and fucking jython does not support it.. so tried finding the different libs like jpy , jpe and analysisRPC.. Everything seems just bullshit .
Finally using Kafka to have my interprocess communication..
I'm I'll since Sunday and my imagination is starting to fade. So far I've read/watched movies on deep learning and CNN, had a long session on Wikipedia on common fallacies, as well as a lot of other things. But now I can't think of what to do.
What is your favourite go to thing when you need to kill time using nothing but eyes and ears?
I'm too tired to code or play games...3
Looking to get a good understanding of the fundamental ideology and math behind neural networks and support vector machines. I am well versed with math so I can deal with heavier stuff if needed, I would like to see formulas but an explanation to their conception would be nice. Does anyone have any resources like this? Practical hands on practice exercises would be a plus2
I thought it would be a great course, learn some of the stuff that I always read about but couldn't understand jackshit, and maybe profit form it somehow.
I'm in my last assignment, they want us to pick some SNLI paper and implement, ok, so I find this one with the least amount of params because I thought hey this seems promising.
And boy what a ride it was, I implemented it using PyTorch, the results are way off, I read the paper again and rewrite some parts, still nothing, I get 79%, it's supposed to be 85%, and no matter how I try, nothing.
10 GitHub repos later, 40 hours of complete meltdown,
20 throwaway Google accounts using colab because we don't have GPUs in our uni and using AWS is not feasible.
Same shit, I'm at loss, the world is a lie, and I fell for it...
Can anyone suggest me a github link for GAN in deep learning for generation of new images which is mostly used by the researchers
how i learned what are browser user agent string?
i was learning web development and someone mentioned that term, and i was like yeah ok but deep down inside i was like why on earth would you need that?
few days after my father called me to see why his website(organisation's web protal to apply for leave) wasn't working(he thought i did something, beacuse i can code :/ ) and started scolding me that you did this, you are that and boy what a day that was, then after his speech, i learned that website said it worked best on IE 6,7 and that time IE 9 was latest and we were on windows 7 machine and I had no idea about how to get this done, and just like steve jobs said "you can't connect the dots looking forward" I googled how to change user string agent and told him that this browser has bug and you can solve it like this
Why does everyone still keep using tor when everyone knows that tor is in bed with the US gov ?why is deep space like a forbidden thing why don't people educate one another about deep web while learning the internet ?
Is learning artificial intelligence, deep learning, machine learning the only way to survive in this industry for the next decade or so?1
Does anyone know any good resources that walk you through building a image localization neural network(preferably in tensorflow)? Something that talks you through the though process behind the network design decisions and perhaps examples of training data used to train the network? It seems like every search result is just an example of how to download a premade network and it's weights which from a learning perspective is not very helpful. I'de really love to see one of the Yolo version walked through and trained but honestly any localization would be helpful.
There are people who develop Neural Networks/Deep Learning Models/AI based Softwares.
Does anybody know what do we call them? Is it okay to call all of them Machine Learning Engineer/AI researcher/AI engineer?
If I'm looking for someone who can make AI based program for me. Whom should I be looking for on freelancer or LinkedIn?1