Understanding Convolutional Neural Network (CNN) — A Guide to Visual Recognition in the AI Era

This post explains the application of convolutional neural networks (CNN) in visual recognition problems. It covers the basics of CNN, including convolution, padding, strides, pooling, and the design of a CNN architecture. It also introduces the LeNet-5 architecture and provides a step-by-step guide to implementing a CNN with TensorFlow 2.0.