This article discusses the use of convolutional neural networks (CNN) for image classification. It explains how images are pre-processed and shrunk to the same size before being fed into the network, and the roles of the convolutional, pooling, and fully connected layers. Additionally, the article looks at tracking experiments with Comet ML.
