Applied Deep Learning with TensorFlow 2 | Learn to Implement Advanced Deep Learning Techniques with Python
Lingua: inglese
Editore: Apress, 2022
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Da: preigu, Osnabrück, Germaniapreigu
Venditore AbeBooks dal 5 agosto 2024
Condizione: Nuovo
EUR 63,90
Quantità: 5 disponibili
Aggiungi al carrelloDescrizione dell’articolo da parte del venditore
Codice articolo 120927798
- Titolo
- Applied Deep Learning with TensorFlow 2 | Learn to Implement Advanced Deep Learning Techniques with Python
- Autore
- Umberto Michelucci
- Editore
- Apress
- Anno di pubblicazione
- 2022
- Condizione
- Neu
- Rilegatura
- Taschenbuch
- Lingua
- inglese
- ISBN 10
- 1484280199
- ISBN 13
- 9781484280195
- Edizione
- seconda edizione
- Peso dell'articolo
- 764 grammi
- Dimensioni
- 254 x 178 x 23 mm
- Cataloghi dei venditori
- Bücher
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.
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preigu
Osnabrück, Germania
Venditore AbeBooks dal 5 agosto 2024
Tariffe di spedizione da Germania a U.S.A.
| Articolo | Da 60 a 60 giorni lavorativi | Da 60 a 60 giorni lavorativi |
|---|---|---|
| Primo articolo | EUR 70,00 | EUR 70,00 |
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