Convolutional Networks: Overview and Architecture

This lecture introduces the motivation and idea behind convolutional networks, explaining the concept of fully connected layers, post-activation, and pooling layers. It covers the evolution from LeNet to AlexNet, detailing the architecture, activation functions, and pooling techniques used in modern convolutional networks.