December 12, 2024 by Ljudmila B. (PhD, CH)
“Very useful book”
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Look inside
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 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.
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
- Printed in full color 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.
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
- Printed in full color throughout
about the reader
For readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.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.
Immerse yourself into this exciting introduction to the topic with lots of real-world examples. A must-read for every deep learning practitioner.
The modern classic just got better.
Truly the bible of deep learning.
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Company Choice
Based on my experience I saw that you have very useful books for computer sience and all kinds of AI
Product Choice
I know the first version of this book
My goto reference for deep learning
December 3, 2024 by Jim (Ohio, US)
“This is my goto reference for a lot of deep learning tasks. The chapters on transformers are a little thin but otherwise they are good.”
Company Choice
I chose manning because the live book and epub formats are included with every purchase.
Product Choice
It was recommended by a colleague
November 22, 2024 by Sotiris G. (Athens, GR)
“The charismatic creator of Keras, François Chollet explains even the most complex deep learning concepts in code and not just providing abstract mathematical equations. The book includes a wide range of deep learning applications (tabular data, timeseries, computer vision, Natural Language Processing, Generative AI) and modern model architectures as Transformers. But the insightful author goes beyond the fundamentals. He presents the best practices and a universal Machine Learning workflow. I would highly recommend the book to every Machine Learning practitioner and AI enthusiast.”
Company Choice
Its specialization in programming books.
October 21, 2024 by A Reviewer (IT)
“Marvellous book. Good to start at a good pace. Exercise available on-line, good but they must be fixed a little to make them working with the current version.”
Great book to start learning about DNN
October 5, 2024 by A Reviewer (US)
“I learned so much from reading this book and I'm only 50%. It is written very clearly, concepts are well explained, it has a good balance between concepts and hands-on code. Highly recommended”
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