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fchollet avatar fchollet commented on May 5, 2024

After training a model, you can get the weights for each layer by calling the .get_weights() method. The "weights" are the numerical values of the parameters of the layer, as a list of arrays.

all_weights = []
for layer in model.layers:
   w = layer.get_weights()
   all_weights.append(w)

You can then visualize these weights, or use them to initialize new layers (pass a "weights" argument to each layer). Check out the code itself for more detail, until there is a documentation available.

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willard-yuan avatar willard-yuan commented on May 5, 2024

Thanks for your help.

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fatemaaa avatar fatemaaa commented on May 5, 2024

how can I save the features of the last fully connected layer (before the softmak layer) of the trained model?

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