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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_MNISTvariational auto encoder for CIFAR10Gumbel-softmax with variational auto encoder for MNISTresidual 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
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