Book Content
chapters • 10h32m total length
1. Getting Started with Deep Learning
2. Deep Feedforward Networks
3. Restricted Boltzmann Machines and Autoencoders
4. CNN Architecture
5. Mobile Neural Networks and CNNs
6. Recurrent Neural Networks
7. Generative Adversarial Networks
8. New Trends of Deep Learning
