Book Content
chapters • 8h24m total length
1. Installing and Setting up Keras
2. Working with datasets and models
3. Data Preprocessing, Optimization and Visualization
4. Classifying text using different Keras layers
5. Implementing Convolutional Neural Networks
6. Generative Adversarial Networks
7. Implementing Recurrent Neural Networks
8. Natural Language Processing using Keras Models
9. Text summarization using Keras Models
10. Reinforcement learning using Keras Models
