Chapter 3
Deep Learning with Convolutional Networks
Section 1
Deep Convolutional Neural Network - DCNN
A deep convolutional neural network (DCNN) consists of many neural network layers. Two different types of layers, convolutional and pooling, are typically alternated. The depth of each filter increases from left to right in the network. The last stage is typically made of one or more fully connected layers. - See the shared weights and bias - Understand pooling layers - Look at the LeNet code in Keras