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State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem
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Front Matter
1. Build TensorFlow Input Pipelines
2. Increase the Diversity of Your Dataset with Data Augmentation
3. TensorFlow Datasets
4. Deep Learning with TensorFlow Datasets
5. Introduction to Tensor Processing Units
6. Simple Transfer Learning with TensorFlow Hub
7. Advanced Transfer Learning
8. Stacked Autoencoders
9. Convolutional and Variational Autoencoders
10. Generative Adversarial Networks
11. Progressive Growing Generative Adversarial Networks
12. Fast Style Transfer
13. Object Detection
14. An Introduction to Reinforcement Learning
Back Matter
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