Mgiyuk

Correct way to get output of intermediate layer in Keras model? I have trained a model in Keras and want to extract the output from an intermediate layer. The model contains dropout layers and I want to be absolutely sure nothing is dropped when doing this. According to the documentation, a layer's output can be extracted like this: layer_name = 'my_layer' intermediate_layer_model = Model(inputs=model.input, outputs=model.get_layer(layer_name).output) intermediate_output = intermediate_layer_model.predict(data) However, docs also show how to do so with a Keras function: get_3rd_layer_output = K.function([model.layers[0].input, K.learning_phase()], [model.layers[3].output]) # output in test mode = 0 layer_output = get_3rd_layer_output([x, 0])[0] # output in train mode = 1 layer_output = get_3rd_layer_output([x, 1])[0] Here, the learning_phase() flag tells keras whether to actually use dropout and similar thin...