This blog explains the complete CNN architecture, starting from convolution, activation, and pooling, and then dives deep into the classic LeNet-5 architecture. It covers layer-by-layer dimensions, design choices, activation functions, and why LeNet-5 became the foundation of modern convolutional neural networks.