Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: LeNet

The video tutorial covers the evolution of convolutional neural networks (CNNs), starting with the pioneering work of John Lee Kuhn and the development of LeNet for digit recognition. It explains the architecture of LeNet, its components, and its impact on machine learning, particularly in ATM machines. The tutorial concludes with a brief introduction to modern CNN architectures like AlexNet, VGG, Inception, and ResNet.

How many units did the first fully connected layer of LeNet have?

What was the primary application of the LeNet architecture in the 1990s?

What modern architectures are mentioned as successors to LeNet?