CNNs: understanding feature visualization Channel Objectives (SOLVED)
As you noticed, the activations on mixed4a for a normal sized input is [14,14,512]. Intuitively, these dimensions correspond to [x_position, y_position, channel].

When we talk about "channel" and "neuron" objectives for visualization of channel 11, we mean:


Neuron objective: maximize activations[7, 7, 11] 


maximize channel 11 in one position (generally middle)

Channel objective: maximize tf.reduce_sum(activations[:, :, 11])


maximize channel 11 everywhere



This diagram from feature visualization also goes over the difference: