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Extended Mean Field Restricted Boltzmann Machine

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add exponential decay for weight gradients

It is unclear what makes a good initial starting point for the SVM We can grid search the parameters to find out try testing different values of sigma, learning_rate, momentum,...

We use the RBM to generate features for the SVM or Logistic Regression so we need to transform X_train to features (F_train): example: rbm = BernoulliRBM() rbm= rbm.fit(X_train) F_train =...

data dir should not be replicated I use a symbolic link data -> ../data/

See EMF_RBM_Energy_Densities_Ominglot-200 Data should be binary to run in a Bernoulli RBM You can see this by plotting the data