Figure 1 illustrates an exemplary
convolutional neural network 100. The
convolutional neural network 100 arranges its neurons in three dimensions (width, height, depth), as visualized in
convolutional layer 104. Every layer of the
convolutional neural network 100 transforms a 3D volume of inputs to a 3D output volume of neuron activations. In this example, the
input layer 102 encodes the image, so its width and height would be the dimensions of the image, and the depth would be 3 (Red, Green, Blue channels). The
convolutional layer 104 further transforms the outputs of the
input layer 102, and the
output layer 106 transforms the outputs of the
convolutional layer 104 into one or more classifications of the image content.