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  • [[https://github.com/fchollet/keras][Keras]] example codes

** Dependencies

I recommend using anaconda3

  • python libraries

    • Keras
    • tensorflow or theano
    • pydot_ng
    • matplotllib
    • daft (only ~tutorial~ )
    • gensim (only save and load word embeddings)
  • software

    • graphviz

** Contents

*** Keras 1

  • Image

    • ~CNN_MNIST~
    • ~variational auto encoder for CIFAR10~
    • ~Gumbel-softmax with variational auto encoder for MNIST~
    • ~residual CIFAR10~
  • Text

    • ~encoder-decoder~
    • ~Skip-Gram~ : not hieraltical softmax and negative sampling
  • Tutorial

    • ~keras_tutorial~ : for Machine Learning seminar at Tsukuba (note: 7MB notebook and ja only)

*** Keras 2

  • ~autoencoder~

  • ~MLP_MNIST~

  • ~CNN_CIFAR10~

  • ~CBoW~ : Normal softmax

  • ~RNN_binary_classification~

  • ~NNLM~

  • ~SCRNLM~ : Structurally Constrained Recurrent Nets Language Model

  • ~fastText~ : Bi-gram features and softmax

  • ~Skip-Gram&NG~ : Skip-gram with negative sampling

  • ~prodLDA~ : Product of experts model's LDA based on VAE

  • ~sklearn_MLP_MNIST~: Sklearn API example for parameter search on MNIST classification