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Search - "ml==maths?"
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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
> excusemewhatthefuck.jpg
> 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
> FINALLY.png
> 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.
Ready?
3
2
1
> 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 -
"Dear TitanLannister : You are in the final year. A lot of shit is happening around u. its now time to make a career and take tough decisions. What would you do?"
CHOICE 1: COMPETITIVE
>>>>background : "a lot of super companies like wallmart, fb, amazon, ms, google,.. etc simply takes a straight coding test for fresher placement. They ask tough bad ass level questions, but with right guidance, a hell ton of dedicated hours of coding, and making it to the top of various coding tests could make you a potential candidate"
>>>>+ve points :
- "You got the teachers and professionals with great experience to guide you"
- "a dream job come true.you can go there and join teams that interests you"
- "it was your first exposure to computer world. maybe you would like doing it again, after 4 years"
>>>> -ve points:
- "You have always been an average 70 percentile guy. The task requires 2000-3000 hours of coding an year. it will be hard and you always grow bored out of this pretty quickly"
- "Even If you did that , you stand a lesser chance because your maths is shitty.There are millions running in this race with brains faster than your IDE"
- "your college will riot with you because they expect 75% attendance"
- "You are virtually out of college placements, in which , even though shitty companies come and offer even shittier 4LPA packages($6000 per annum), would take a tough logical/aptitude based test for which you won't be able to prepare"
CHOICE 2: PROFESSIONAL WORK
>>>>background: "you always wanted to create something , and therefore you started taking android based courses. you have been doing android for over 2 years and today you know a lot of things in android. you might be good in other professional lines like web dev, data analytics, ml,ai, etc too if you give time to that"
>>>>+ve points :
- "you will love doing this, you always did"
- "With the support of a good team, you will always be able to complete tasks and build new things quickly"
- "Start ups might offer you the placement, they always need students with some good exposure"
>>>>-ve points :
- "Every established company which provides interesting dev work takes their first round as coding, and do not considers your extra curricular dev work. So you are placing your all hopes in 1 good start up with super offerings that would somehow be amazed by your average profile and offer you a position"
- "start ups are well, startups and may not offer a job security as strong as est. companies"
- "You are probably not as awesome dev as you think you are. for 2 years, you have only learned the concepts , and not launched more than 1 shitty app and a few open source work"
CHOICE 3: NON CODING
>>>>background: "companies coming in college placements have 1-2 rounds of aptitude,logical reasoning , analysis based questions and other non tech tests. There are also online tests available like elitmus,AMCAT, etc which, when cleared with good marks help receive placements from decent established companies like TCS, infosys, accenture,etc"
>>>>+ve points :
- "you will eventually get placed from college, or online tests"
- "there will be a job security, as most of these companies bonds the person for 2-3 years"
>>>> -ve points:
- "You really don't like this. These companies are low profile consultant/services based companies which would put you in any area: from testing to sales, and job offers are again $5000-6000 per annum at max"
- "Since it includes college, the other factors like your average cgpa and 1 backlog will play an opposing role"
- "Again, you are a 70 percentile avg guy. who knows you might not able to crack even these simple tests"
Ugh... I am fucking confused. Please be me, and help.The things that i wrote about myself are true, but the things that i assumed about super companies, start ups or low profile companies might not be correct, these points comes from my limited knowledge ,terrified and confused brain, after all.
:(7 -
Can someone guide me about a tech career which does involve extreme maths(like ml,ai,ds) or JavaScript/css?7
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Do I have to be good at Mathematics to be good in Machine Learning / Data Science?
I suck at Mathematics, but ML/DS seems so fascinating. Worth a try if I hate Maths?
As they say, do what you enjoy doing.8