Category "lstm"

How to properly initialize TensorFlow GRU-layer with noisy states?

I wish to experiement with noisy GRU states instead of resetting them to zero for each batch. I try below an implementation. My initial code was resetting initi

Tensorflow - ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float)

Continuation from previous question: Tensorflow - TypeError: 'int' object is not iterable My training data is a list of lists each comprised of 1000 floats. For

Specifying the batch size when subclassing keras.model

I implement a model including a LSTM layer by subclassing the keras.Model. The following is the code I used. import tensorflow as tf from tensorflow import ker