Hparams #4
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Hparams #4
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* In tensorflow, keep_prob is used to parametrize dropout and in keras it is the dropout_rate so that we have dropout_rate = 1 - keep_prob
* I copied also the other parameters from [here]{https://github.com/tensorflow/models/blob/3d792f935d652b2c7793b95aa3351a5551dc2401/tutorials/rnn/ptb/ptb_word_lm.py#L226} but I think that his is less important
* removing recurrent dropout
* add dropout in before the softmax layer
This replicates [this]{https://github.com/tensorflow/models/blob/3d792f935d652b2c7793b95aa3351a5551dc2401/tutorials/rnn/ptb/ptb_word_lm.py#L128} implementation
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Tuned hparams to replicate this.