Deep Learning CNN Convolutional Neural Networks with Python - LeNet Solution

The video tutorial discusses the LeNet architecture, the first convolutional neural network to publish its design. It highlights LeNet's influence on subsequent architectures and explains its components: convolutional layers, subsampling layers, and fully connected layers. The tutorial details how these layers work together to process information, emphasizing the increase in channels and the role of max pooling in subsampling. The video concludes with a summary of the LeNet architecture and its various layer types.

Explain the purpose of the subsampling layer in the context of LeNet.

What are fully connected layers and how do they function in the LeNet architecture?