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Deep Learning with Python, Second Edition, Chollet Francois


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Автор: Chollet Francois   (Франсуа Шолле)
Название:  Deep Learning with Python, Second Edition
Перевод названия: Франсуа Шолле: Глубокое обучение с Python
ISBN: 9781617296864
Издательство: Manning Publications
Классификация:

ISBN-10: 1617296864
Обложка/Формат: Paperback
Страницы: 504
Вес: 1.04 кг.
Дата издания: 21.12.2021
Язык: English
Размер: 23.37 x 18.80 x 3.30 cm
Читательская аудитория: Professional & vocational
Рейтинг:
Поставляется из: США
Описание: Chollet is a master of pedagogy and explains complex concepts with minimal fuss, cutting through the math with practical Python code. He is also an experienced ML researcher and his insights on various model architectures or training tips are a joy to read. - Martin Gцrner, Google

Printed in full color! Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world.

In Deep Learning with Python, Second Edition you will learn:

Deep learning from first principles
Image classification and image segmentation
Timeseries forecasting
Text classification and machine translation
Text generation, neural style transfer, and image generation
Full color printing throughout

Deep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. This extensively revised full color second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. Youll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach--even if you have no background in mathematics or data science. This book shows you how to get started.

About the book
Deep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator Franзois Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, youll build your understanding through intuitive explanations, crisp color illustrations, and clear examples. Youll quickly pick up the skills you need to start developing deep-learning applications.

Whats inside

Deep learning from first principles
Image classification and image segmentation
Time series forecasting
Text classification and machine translation
Text generation, neural style transfer, and image generation
Full color printing throughout

About the reader
For readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.

About the author
Franзois Chollet is a software engineer at Google and creator of the Keras deep-learning library.

Table of Contents
1 What is deep learning?
2 The mathematical building blocks of neural networks
3 Introduction to Keras and TensorFlow
4 Getting started with neural networks: Classification and regression
5 Fundamentals of machine learning
6 The universal workflow of machine learning
7 Working with Keras: A deep dive
8 Introduction to deep learning for computer vision
9 Advanced deep learning for computer vision
10 Deep learning for timeseries
11 Deep learning for text
12 Generative deep learning
13 Best practices for the real world
14 Conclusions



      Старое издание
Deep Learning with Python

Автор: Chollet Francois
Название: Deep Learning with Python
ISBN: 1617294438 ISBN-13(EAN): 9781617294433
Издательство: Pearson Education
Цена: 7918.00 р.
Наличие на складе: Поставка под заказ.
Описание:

Summary

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Francois Chollet, this book builds your understanding through intuitive explanations and practical examples.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning--a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications.

About the Book

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Francois Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

What's Inside

  • Deep learning from first principles
  • Setting up your own deep-learning environment
  • Image-classification models
  • Deep learning for text and sequences
  • Neural style transfer, text generation, and image generation

About the Reader

Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.

About the Author

Francois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

Table of Contents

    PART 1 - FUNDAMENTALS OF DEEP LEARNING
  1. What is deep learning?
  2. Before we begin: the mathematical building blocks of neural networks
  3. Getting started with neural networks
  4. Fundamentals of machine learning
  5. PART 2 - DEEP LEARNING IN PRACTICE
  6. Deep learning for computer vision
  7. Deep learning for text and sequences
  8. Advanced deep-learning best practices
  9. Generative deep learning
  10. Conclusions
  11. appendix A - Installing Keras and its dependencies on Ubuntuappendix B - Running Jupyter notebooks on an EC2 GPU instance


Deep Learning with Python

Автор: Chollet Francois
Название: Deep Learning with Python
ISBN: 1617294438 ISBN-13(EAN): 9781617294433
Издательство: Pearson Education
Рейтинг:
Цена: 7918.00 р.
Наличие на складе: Поставка под заказ.

Описание:

Summary

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Francois Chollet, this book builds your understanding through intuitive explanations and practical examples.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning--a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications.

About the Book

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Francois Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

What's Inside

  • Deep learning from first principles
  • Setting up your own deep-learning environment
  • Image-classification models
  • Deep learning for text and sequences
  • Neural style transfer, text generation, and image generation

About the Reader

Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.

About the Author

Francois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

Table of Contents

    PART 1 - FUNDAMENTALS OF DEEP LEARNING
  1. What is deep learning?
  2. Before we begin: the mathematical building blocks of neural networks
  3. Getting started with neural networks
  4. Fundamentals of machine learning
  5. PART 2 - DEEP LEARNING IN PRACTICE
  6. Deep learning for computer vision
  7. Deep learning for text and sequences
  8. Advanced deep-learning best practices
  9. Generative deep learning
  10. Conclusions
  11. appendix A - Installing Keras and its dependencies on Ubuntuappendix B - Running Jupyter notebooks on an EC2 GPU instance
Orthographe progressive du francais

Автор: Chollet, Isabelle Robert, J-m
Название: Orthographe progressive du francais
ISBN: 209038459X ISBN-13(EAN): 9782090384598
Издательство: Неизвестно
Рейтинг:
Цена: 3702.00 р.
Наличие на складе: Поставка под заказ.

Описание: Nouvelle histoire de la France contemporaine1. La Chute de la monarchie (1787 1792), M. Vovelle2. La Republique jacobine (10 aoA»t 1792-9 Thermidor an II), M. Bouloiseau3. La Republique bourgeoise (de Thermidor a Brumaire, 1799-1815), D. Woronoff4. L`Episode napoleonien. Aspects interieurs (1799-1815), L. Bergeron5. La France napoleonienne. Aspects exterieurs (1799-1815), R. Dufraisse et M. Kerautret6 et 7. La France des notables (1815-1848)1. L`evolution generale, A. Jardin et A.-J. Tudesq2. La vie de la nation, A. Jardin et A.-J. Tudesq8. 1848 ou l`Apprentissage de la Republique (1848-1852), M. Agulhon9. De la fete imperiale au mur des federes (1852-1871), A. Plessis10. Les Debuts de la IIIe Republique (1871-1898), J.-M. Mayeur11. La Republique radicale ? (1898-1914), M. Reberioux12. Victoire et Frustrations (1914-1929), J.-J. Becker et S. Berstein13. La Crise des annees 30 (1929-1938), D. Borne et H. Dubief14. De Munich a la Liberation (1938-1944), J.-P. Azema15 et 16. La France de la IVe Republique (1944-19858)1. L`ardeur et la necessite (1944-1952), J.-P Rioux2. L`expansion et l`impuissance (1952-1958), J.-P Rioux17 et 18. La France de l`expansion (1958-1974)1. La Republique gaullienne (1958-1969), S. Berstein2. L`apogee Pompidou (1969-1974), S. Berstein et J.-P Rioux19. Crises et alternances (1974-2000), J.-J. Becker avec la collaboration de P. Ory20. La France du XXe siecle. Documents d`histoire, presentes par O. Wieviorka et C. Prochasson

In defence of witches

Автор: Chollet, Mona
Название: In defence of witches
ISBN: 1529034043 ISBN-13(EAN): 9781529034042
Издательство: Pan Macmillan
Рейтинг:
Цена: 1731.00 р.
Наличие на складе: Поставка под заказ.

Описание: With an emphasis on psychoanalytic theory, Business, Ethics and Society: Key Concepts, Current Debates and Contemporary Innovations provides a clear, concise introduction to the field of business ethics, while addressing contemporary issues and debates around the impacts of artificial intelligence, social media, the gig economy and populist politics on business and society.

Orthographe Progressive Du Francais Intermediare Livre +CD+web 3 edition (2020)

Автор: Isabelle Chollet;Jean-Michel Robert
Название: Orthographe Progressive Du Francais Intermediare Livre +CD+web 3 edition (2020)
ISBN: 2090351926 ISBN-13(EAN): 9782090351927
Издательство: Неизвестно
Рейтинг:
Цена: 7023.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Nouvelle histoire de la France contemporaine1. La Chute de la monarchie (1787 1792), M. Vovelle2. La Republique jacobine (10 aoA»t 1792-9 Thermidor an II), M. Bouloiseau3. La Republique bourgeoise (de Thermidor a Brumaire, 1799-1815), D. Woronoff4. L`Episode napoleonien. Aspects interieurs (1799-1815), L. Bergeron5. La France napoleonienne. Aspects exterieurs (1799-1815), R. Dufraisse et M. Kerautret6 et 7. La France des notables (1815-1848)1. L`evolution generale, A. Jardin et A.-J. Tudesq2. La vie de la nation, A. Jardin et A.-J. Tudesq8. 1848 ou l`Apprentissage de la Republique (1848-1852), M. Agulhon9. De la fete imperiale au mur des federes (1852-1871), A. Plessis10. Les Debuts de la IIIe Republique (1871-1898), J.-M. Mayeur11. La Republique radicale ? (1898-1914), M. Reberioux12. Victoire et Frustrations (1914-1929), J.-J. Becker et S. Berstein13. La Crise des annees 30 (1929-1938), D. Borne et H. Dubief14. De Munich a la Liberation (1938-1944), J.-P. Azema15 et 16. La France de la IVe Republique (1944-19858)1. L`ardeur et la necessite (1944-1952), J.-P Rioux2. L`expansion et l`impuissance (1952-1958), J.-P Rioux17 et 18. La France de l`expansion (1958-1974)1. La Republique gaullienne (1958-1969), S. Berstein2. L`apogee Pompidou (1969-1974), S. Berstein et J.-P Rioux19. Crises et alternances (1974-2000), J.-J. Becker avec la collaboration de P. Ory20. La France du XXe siecle. Documents d`histoire, presentes par O. Wieviorka et C. Prochasson

CORR.ORTHOGRAPHE PROGR.INT.2E ED.

Автор: Isabelle Chollet;Jean-Michel Robert
Название: CORR.ORTHOGRAPHE PROGR.INT.2E ED.
ISBN: 2090381469 ISBN-13(EAN): 9782090381467
Издательство: Неизвестно
Рейтинг:
Цена: 576.00 р.
Наличие на складе: Нет в наличии.

White Coat and Sneakers

Автор: Chollet MD Hillary
Название: White Coat and Sneakers
ISBN: 0615757863 ISBN-13(EAN): 9780615757865
Издательство: Неизвестно
Цена: 1898.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Deep Learning with R

Автор: Chollet Francois, Allaire J. J.
Название: Deep Learning with R
ISBN: 161729554X ISBN-13(EAN): 9781617295546
Издательство: Pearson Education
Рейтинг:
Цена: 9194.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Summary

Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Machine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-of-the-art toolset for tackling deep-learning tasks.

About the Book

Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. Initially written for Python as Deep Learning with Python by Keras creator and Google AI researcher Francois Chollet and adapted for R by RStudio founder J. J. Allaire, this book builds your understanding of deep learning through intuitive explanations and practical examples. You'll practice your new skills with R-based applications in computer vision, natural-language processing, and generative models.

What's Inside

  • Deep learning from first principles
  • Setting up your own deep-learning environment
  • Image classification and generation
  • Deep learning for text and sequences

About the Reader

You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed.

About the Authors

Francois Chollet is a deep-learning researcher at Google and the author of the Keras library.

J.J. Allaire is the founder of RStudio and the author of the R interfaces to TensorFlow and Keras.

Table of Contents

    PART 1 - FUNDAMENTALS OF DEEP LEARNING
  1. What is deep learning?
  2. Before we begin: the mathematical building blocks of neural networks
  3. Getting started with neural networks
  4. Fundamentals of machine learning
  5. PART 2 - DEEP LEARNING IN PRACTICE
  6. Deep learning for computer vision
  7. Deep learning for text and sequences
  8. Advanced deep-learning best practices
  9. Generative deep learning
  10. Conclusions

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