activations = activation_model.predict(img_tensor) # Returns a list of five Numpy arrays: one array per layer activation Where is "five" Numpy arrays coming from?
activations = activation_model.predict(img_tensor)
Returns a list of five Numpy arrays: one array per layer activation
Where is "five" Numpy arrays coming from?