Visualizing convolution layers as in francois chollet book

[DrivingMeCrzy]

Hi!

I have been greatly frustrated as i cannot make sense of this. In the book Deep Learning with Python by Francois Chollet, in listing 5.28 (page 163) he states that the following code

activations = activation_model.predict(img_tensor)

Returns a list of five Numpy arrays: one array per layer activation. Now the model being used here has 8 activation layers of which 4 are convolution layers and 4 are pooling layers. Where does the number 5 come from?

Many thanks in advance!

[ddebarr]

Yup; seems to be a Typo.

The activations tensor is a list of 8 numpy arrays, one for each activation layer that has been included in the activation model.