Book Content
chapters • 7h16m total length
1. Deep Neural Networks - Overview
2. Introduction to Convolutional Neural Networks
3. Build Your First CNN and Performance Optimization
4. Popular CNN Model's Architectures
5. Transfer Learning
6. Autoencoders for CNN
7. Object Detection with CNN
8. Generative Adversarial Network
9. Visual Attention Based CNN














