Fig. 4: Convolutional network architecture.

Layers are linked in-series with the input layer connected to the hidden layers which is connected to the output layer. Hidden layers are comprised of three convolutional units (convolution, batch norm, ReLu, and max pool) and a classification layer (fully connected, and soft max).