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- Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
Antonio Gulli, Amita Kapoor, Sujit Pal
Ebook
Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You’ll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.
TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow 2 provides full Keras integration, making advanced machine learning easier and more convenient than ever before.
This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML.
TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow 2 provides full Keras integration, making advanced machine learning easier and more convenient than ever before.
This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML.
- 1. Neural Network Foundations with TensorFlow 2.0
- 2. TensorFlow 1.x and 2.x
- 3. Regression
- 4. Convolutional Neural Networks
- 5. Advanced Convolutional Neural Networks
- 6. Generative Adversarial Networks
- 7. Word Embeddings
- 8. Recurrent Neural Networks
- 9. Autoencoders
- 10. Unsupervised Learning
- 11. Reinforcement Learning
- 12. TensorFlow and Cloud
- 13. TensorFlow for Mobile and IoT and TensorFlow.js
- 14. An introduction to AutoML
- 15. The Math Behind Deep Learning
- 16. Tensor Processing Unit
- Title: Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
- Author: Antonio Gulli, Amita Kapoor, Sujit Pal
- Original title: Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
- ISBN: 9781838827724, 9781838827724
- Date of issue: 2019-12-27
- Format: Ebook
- Item ID: e_2azn
- Publisher: Packt Publishing