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

The video tutorial covers various neural network architectures, including LeNet, AlexNet, VGG, Inception, GoogleNet, and ResNet. It provides instructions for an activity that involves reading papers or blogs to compare these networks, with a focus on Inception and ResNet. The tutorial emphasizes understanding the strengths and weaknesses of these architectures to gain a better grasp of state-of-the-art convolutional neural networks.

What are the main differences between Inception Net and ResNet?

In what scenarios does Inception Net perform better than ResNet?

What are the strengths and weaknesses of Inception Net?

What are the strengths and weaknesses of ResNet?

How does understanding the differences between Inception Net and ResNet contribute to a better understanding of convolutional neural networks?