Applied Deep Learning with TensorFlow 2 : Learn to Implement Advanced Deep Learning Techniques with Python
Language: English
Published by Apress, 2022
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 64.49
Quantity: 1 available
Add to basketItem description from seller
Seller Inventory # 9781484280195
- Title
- Applied Deep Learning with TensorFlow 2 : Learn to Implement Advanced Deep Learning Techniques with Python
- Author
- Umberto Michelucci
- Publisher
- Apress
- Publication year
- 2022
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1484280199
- ISBN 13
- 9781484280195
- Edition
- 2nd Edition
- Item weight
- 764 grams
- Dimensions
- 254x178x23 mm
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.
This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks.
All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be openeddirectly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally.
You will:
• Understand the fundamental concepts of how neural networks work
• Learn the fundamental ideas behind autoencoders and generative adversarial networks• Be able to try all the examples with complete code examples that you can expand for your own projects
• Have available a complete online companion book with examples and tutorials.
This book is for:
Readers with an intermediate understanding of machine learning, linear algebra, calculus, and basic Python programming.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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