Deep Learning with Python, Second Edition
Product ID: 350176053
Buy anything from 5,000+ international stores. One checkout price. No surprise fees. Join 2M+ shoppers on Desertcart.
Desertcart purchases this item on your behalf and handles shipping, customs, and support to BAHRAIN.
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. You’ll 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 François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations, crisp color illustrations, and clear examples. You’ll quickly pick up the skills you need to start developing deep-learning applications. What's 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 François 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 Review: Recommended book for Deep Learning - Good book for Deep learning but one should know the basic knowledge of Numpy, Pandas and Data Visulaization and Machine Learning. Review: Great book - This book is not just worth its price, it is worth its weight in gold. I can't say enough good things about this book. If you are serious about deep learning, look no further, just buy it.
| Best Sellers Rank | #206,661 in Books ( See Top 100 in Books ) #157 in Python Programming #1,329 in Computer Science Books |
| Customer Reviews | 4.6 out of 5 stars 445 Reviews |
R**R
Recommended book for Deep Learning
Good book for Deep learning but one should know the basic knowledge of Numpy, Pandas and Data Visulaization and Machine Learning.
K**I
Great book
This book is not just worth its price, it is worth its weight in gold. I can't say enough good things about this book. If you are serious about deep learning, look no further, just buy it.
C**I
Best book for DL
The best explanation you can ever have. Go for it!!
T**N
Excellent Book
A third edition of this book is now out. But I read the second edition from start to finish, so this review is for the second edition The title of the book is "Deep Learning with Python/2nd Edition" Simply put, I learnt Deep Learning with Python. Thank you, François Chollet. Never mind that I am still not up to speed with Python. I must add that in the later stages of the book, I supplemented the reading with many ChatGPT sessions and also looked up the "Attention Is All You Need" implementation of the Transformer in GitHub (not the Huggingface libraries) for a fuller understanding. This does not in any way mean that understanding from reading just the book is below par at any stage I was just curious to know more, like the whole context in which Multi Head Attention operates within the Transformer One thing I wish all authors of books on Deep Learning would do is to explicitly give the shape of tensors flowing thru the Python code at every stage. It adds a level of clarity to the code Last I heard, the author has left Google after a decade long stint to start his own venture Much like Ilya Sutskever and the ex-CTO Mira Murati of OpenAI A book review is hardly the place for it, but here is wishing François Chollet the very best in his new endeavor. Back to the book. All in all, an excellent book if you have some knowledge of Python and high school differentiation and want to learn the raw fundamentals of Deep Learning using Python, TensorFlow and Keras (no PyTorch). Given that the author is the inventor of the Keras library I fully recommend this book Jaisimha Narahari
R**A
No pdf book available on this purchase.
There is no pdf subscription option available. I followed the steps given in the book. But there is no code on the pages where they advised in the steps to subscribe pdf book.
V**A
Received Fake Printed version
The quality and font of the print is not for a comfortable read. The book doesn't seem to be the original version. Its all black and white no color print.
S**M
Top
The quality of the book itself is really good. I also love the content.
J**H
It's Great
It's a good book and reads well. It could use some formatting changes to make some of the content more digestible. But overall a great book.
F**.
Utilissimo
Uno dei migliori libri in commercio di macchine learning, in particolare sul deep learning usando python e tensor flow.
O**R
Excelente libro
Es un libro excelente, el autor explica conceptos complicados de una forma sencilla y entendible. Realmente hizo un gran trabajo de pedagogo, además estás aprendiendo del mismísimo autor de Keras, el framework más popular para machine learning. Eso sí, es importante tener conocimiento de programación y de conceptos matemáticos (cálculo, geometría, derivación, etc) ya que el Deep Learning es básicamente eso, pura matemática; vectores, matrices, operaciones vectoriales, espacios geométricos en varias dimensiones, etc. Cabe aclarar que el libro NO usa notaciones matemáticas; para darle sencillez, el autor decide usar en su lugar líneas de código que lo hacen mucho más digerible. Sin embargo, tener el conocimiento de estos conceptos te da el poder de entender lo que se está haciendo y de lo que se está hablando. PD: el libro en físico incluye todas las versiones digitales! Incluso Kindle!
C**A
Excellent!!
2nd Edition has just what was missing…details to help you learn from scratch!!!
Trustpilot
2 weeks ago
2 weeks ago