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Index
Cover
Front Matter
1. Introduction
2. Introduction to Machine Learning
3. Deep Learning and Neural Networks Overview
4. Complementary Libraries to TensorFlow 2.x
5. A Guide to TensorFlow 2.0 and Deep Learning Pipeline
6. Feedforward Neural Networks
7. Convolutional Neural Networks
8. Recurrent Neural Networks
9. Natural Language Processing
10. Recommender Systems
11. Autoencoders
12. Generative Adversarial Network
Back Matter
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