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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. Select the correct answer from above options

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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]) Interested in learning artificial intelligence? Check out this artificial intelligence tutorial!

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