Can someone please help me understand what the names and shapes of the following tensorboard histogram outputs mean about an LSTM model I coded? Thank you!
I understand the terms in the names like bias, gradients, LSTM etc. I do not understand what they are saying about the LSTM model with 3 cells. The LSTM model trains really well with no underfitting or overfitting.
Happy to provide any additional information, please ask!
Layer (type) Output Shape Param #
lstm_2 (LSTM) (None, 3) 408
LSTM Model in keras: model = Sequential() model.add(LSTM(3, input_shape=(1,30))) model.add(Dense(1, activation='sigmoid'))
Any help is much appreciated.