Figure 3:

Image shows artificial neural network, an interconnected group of processing elements similar to network of neurons in the brain. Each processing element is called a cell (also called neuron or node). Multiple hidden layers with nodes allow for multiple mathematical calculations to generate outputs. Deep learning is an artificial neural network algorithm that contains more than one hidden layer. Feedforward neural network (top panel) is the simplest type of artificial neural network. In this network, information moves in only one direction (forward) from input nodes, through hidden nodes, and to output nodes. Convolutional neural network (bottom panel) is a type of feedforward artificial neural network built from multiple hidden layers including convolutional layers, pooling layers, fully connected layers, and normalization layers. Convolution layer is comprised of filter elements known as kernels.