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Search - "rnn"
A client asked me if I had some software to make an .exe file run on Android.
So I replied with:
Yes, you need to run the RNN through a HM05 then cross-compile the output with a MOSFET.
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
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
It was my first time doing an NLP task / implementing a RNN and I was using the torchtext library to load and do sentiment analysis on the IMDB dataset. I was able to use collate_fn and batch_sampler and create a DataLoader but it gets exhausted after a single epoch. I’m not sure if this is the expected behavior, if it is then do I need to initialize a new DataLoader for every epoch? If not is something wrong with my implementation, please provide me the correct way to implement the same.
PS. I was following the official changelog() of torchtext from github
You can find my implementation here
changelog - https://github.com/pytorch/text/...
My implementation - https://colab.research.google.com/d...