Accessing output values of inner layers

Question

I have a Keras neural network shown in the attached picture

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I train this network with certain sequences of the form #abcd$, plus the other inputs which stay fixed for the entire sequence.

The prediction starts with passing to the network the first symbol # (plus the other inputs), decoding its output into the vector v, then passing v as the new input (till the network generates the symbol $).

For each prediction (on the test set), I need to access the output values of the hidden layers, in particular of the layer inner_concat (or the two dense layers that are concatenated in inner_concat).

From the documentation and from the debugger (looking into the Keras model) I cannot understand how I can access those values after a model.predict.

Is there anyone who can help me or provide a pointer to the documentation?

Answer 1

You can view the output of a layer simply by model.layers[idx].output. For a more detailed answer see here