Is there a simple way to find the number of parameters of a keras model if I have CNN, LSTm etc. Just like we do it in FFN.

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To find number of parameters of a Keras model just use:

model.count_params()

Or perform this directly:

import keras.backend as K

def size(model): # Compute number of params in a model (the actual number of floats)

return sum([np.prod(K.get_value(w).shape) for w in model.trainable_weights])

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