Book Content
chapters • 10h56m total length
1. Understanding Neural Networks and Deep Neural Networks
2. Working with Convolutional Neural Network
3. Recurrent Neural Networks in Action
4. Implementing Autoencoders with Keras
5. Deep Generative Models
6. Handling Big Data Using Large-Scale Deep Learning
7. Working with Text and Audio for NLP
8. Deep Learning for Computer Vision
9. Implementing Reinforcement Learning
