TensorFlow: Remember LSTM state for next batch (stateful LSTM)
TensorFlow: Remember LSTM state for next batch (stateful LSTM) Question: Given a trained LSTM model I want to perform inference for single timesteps, i.e. seq_length = 1 in the example below. After each timestep the internal LSTM (memory and hidden) states need to be remembered for the next ‘batch’. For the very beginning of the …
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