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- Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
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Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
Amita Kapoor, Antonio Gulli, Sujit Pal, François Chollet
Ebook
Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using 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 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments.
This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML.
TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments.
This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML.
- 1. Neural Networks Foundations with TF
- 2. Regression and Classification
- 3. Convolutional Neural Networks
- 4. Word Embeddings
- 5. Recurrent Neural Network
- 6. Transformers
- 7. Unsupervised Learning
- 8. Autoencoders
- 9. Generative Models
- 10. Self-Supervised Learning
- 11. Reinforcement Learning
- 12. Probabilistic TensorFlow
- 13. An Introduction to AutoML
- 14. The Math Behind Deep Learning
- 15. Tensor Processing Unit
- 16. Other Useful Deep Learning Libraries
- 17. Graph Neural Networks
- 18. Machine Learning Best Practices
- 19. TensorFlow 2 Ecosystem
- 20. Advanced Convolutional Neural Networks
- Title: Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
- Author: Amita Kapoor, Antonio Gulli, Sujit Pal, François Chollet
- Original title: Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
- ISBN: 9781803245713, 9781803245713
- Date of issue: 2022-10-06
- Format: Ebook
- Item ID: e_39u4
- Publisher: Packt Publishing