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Deep Learning with Python, Second Edition.

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ISBN: 9781617296864 | 504 pages | 13 Mb

• Deep Learning with Python, Second Edition
• Page: 504
• Format: pdf, ePub, fb2, mobi
• ISBN: 9781617296864
• Publisher: Manning

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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 Deep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. This extensively revised 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 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 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

Deep Learning with Python, Second Edition - Manning
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 
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Deep Learning with Python, Second Edition. ×. Sign up to our mailing list for exclusive discounts and updates on this and other Manning products. subscribe 
1 What is deep learning? - liveBook · Manning
Should you believe the hype? This chapter provides essential context around artificial intelligence, machine learning, and deep learning. livebook features:
Deep Learning with Python, Second Edition | 9781617296864
Deep Learning with Python, Second Edition is written by Francois Chollet and published by Manning. The Digital and eTextbook ISBNs for Deep Learning with 
Deep Learning with Python
The code examples use the Python deep-learning framework Keras, with Tensor- The time axis is always the second axis (axis of index 1), by convention.
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Arrives by Sat, Feb 5 Buy Python Deep Learning - Second Edition : Exploring deep learning techniques and neural network architectures with PyTorch, Keras, Publication Date: January, 2019Publisher: Packt Publishing
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In Deep Learning with Python, Second Edition you will learn: Deep learning from first principles. Image classification and image 
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Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools [Stevens, Eli, Antiga, Deep Learning with Python, Second Edition.
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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python Deep Learning with Python (Second Edition).

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