Keras implementation of LSTMCell (The class uses optional peep-hole connections, optional cell clipping, and an optional projection layer).

Asked Jul 19 '17 at 07:26

Active Dec 17 '17 at 17:12

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According to my understanding, Keras LSTM cell is similar to Tensorflow

BasicLSTMCell(RNNCell). However, I am looking for the implementation of Tensorflow

LSTMCell(RNNCell) in Keras (LSTMCell : The class uses optional peep-hole connections, optional cell clipping, and an optional projection layer). https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/rnn_cell_impl.py https://research.google.com/pubs/archive/43905.pdf Hasim Sak, Andrew Senior, and Francoise Beaufays. "Long short-term memory recurrent neural network architectures for large scale acoustic modeling." INTERSPEECH, 2014.

I am wondering without writing a custom layer, is there is any way to use this Tensorflow LSTMCell in Keras or is it already available?

asked Jul 19 '17 at 07:26

Rithmax

Not really sure what the problem is here. Keras is just an API that makes using a backend NN software (tensorflow,theano) easier to access via python – DJK Jul 19 '17 at 20:01
I have the same question... because `import tf.keras` is too verbose. – Huan Jan 01 '18 at 05:40

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