Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
tensorflow
word-embeddings
gru
autoencoder
gans
doc2vec
skip-thoughts
adagrad
cyclegan
deep-learning-mathematics
capsule-network
few-shot-learning
quick-thought
deep-learning-scratch
nadam
deep-learning-math
lstm-math
cnn-math
rnn-derivation
contractive-autonencoders
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Updated
Apr 17, 2020 - Jupyter Notebook


The instructions are very vague. It's not even clear if this project is self-containing. In
eval.sh, there is a parameter for the link to the directory of SkipThoughts implementation. Does it mean SkipThoughts need to be installed separately or it's somewhere in the repo? If it's the former, is that still compatible with the rest of your codebase?Can you provide more details about the insta