How can I get biases from a trained model in Keras?

Question

I have built a simple neural network,

model = Sequential()
model.add(Dense(20, input_dim=5, activation=\'sigmoid\'))
model.add(Dense(1, activation=\'sigmoid\         


        

Answer 1

Quite simple, its just the second element in the array returned by get_weights() (For Dense layers):

B_Input_Hidden = model.layers[0].get_weights()[1]
B_Output_Hidden = model.layers[1].get_weights()[1]