Deep Learning CNN Convolutional Neural Networks with Python - Classical CNNs Activity

The video tutorial covers various neural network architectures, including LeNet, AlexNet, VGG, Inception, GoogleNet, and ResNet. It provides an activity for students to compare Inception and ResNet by reading relevant papers or blogs. The goal is to understand the strengths and weaknesses of these networks and their applications. This theoretical exercise aims to enhance understanding of state-of-the-art convolutional neural networks.

What are the strengths and weaknesses of ResNet?

How does understanding the differences between these architectures enhance your knowledge of state-of-the-art convolutional neural networks?