Machine Learning, Deep Learning, Artificial Intelligence, Data Science, Towards Data Science.
elements after the max-pooling layer. We have a 200 node fully connected layer, which results in a total of 1, 690 × 200 = 338, 000 weights and 200 bias terms in the fully connected layer. Thus, we have a total of 338,460 parameters to be trained in the network. We can see that the majority of the