Deep Learning with Python, Second Edition by on Ipad

Deep Learning with Python, Second Edition.

Deep-Learning-with-Python.pdf
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 (Paperback)
Dec 21, 2021 — This extensively revised full color second edition introduces deep learning using Python and Keras, and is loaded with insights for both Related Editions (all): Kobo eBook (December Publication Date: December 21st, 2021By: Francois CholletPublisher: Manning
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 
Deep Learning with Python by François Chollet - Goodreads
Excellent and clear explanation of main architectures and extensive technics of deep learning from the creator of Keras. Read Conclusion chapter as a sneak-peak 
Deep Learning with Python, Second Edition - Amazon.com
This book shows you how to get started. Deep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras 
Learn Best Practices of Deep Learning Models with PyTorch
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch 2nd ed. Edition. by Nikhil Ketkar (Author), Jojo Moolayil (Contributor).
Hands-On Machine Learning with Scikit-Learn, Keras
Through a series of recent breakthroughs, deep learning has boosted the entire Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition [Book]
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 - Francois Chollet
Dec 21, 2021 — Deep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. This extensively Advanced deep learning for computer vision: 2Fundamentals of machine learning: 122Deep learning for timeseries: 280The universal workflow of machine learning: 1
Deep Learning with Python, 2nd Edition - 好资源收集站
In Deep Learning with Python, Second Edition you will learn: Deep learning from first principles; Image classification and image segmentation 

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