Read [Pdf]> Deep Learning with Python, Second Edition by
Deep Learning with Python, Second Edition by
- Deep Learning with Python, Second Edition
- Page: 504
- Format: pdf, ePub, mobi, fb2
- 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
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Deep Learning with Python, Second Edition (Kobo eBook)
This extensively revised second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and
Deep Learning with Python, 2nd Ed (Manning) - I Programmer
This book shows how to put the full capabilities of deep learning into action. This extensively revised full color second edition introduces
Deep Learning with TensorFlow: Explore neural networks and
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition [Zaccone, Giancarlo, Karim, Md. Rezaul] on
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
1 What is deep learning? - liveBook · Manning
Machine learning, deep learning, and AI come up in countless articles, “Within a generation … the problem of creating 'artificial intelligence' will
Advanced Deep Learning with Python: Design and implement
Advanced Deep Learning with Python: Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch [Vasilev, Ivan] on Amazon.com.
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Deep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras library. In this revised and
Deep Reinforcement Learning with Python - Second Edition
Deep Reinforcement Learning with Python - Second Edition. by Sudharsan Ravichandiran. Released September 2020. Publisher(s): Packt Publishing. ISBN:
New Releases in Computer Neural Networks - Amazon.com
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python Deep Learning with Python (Second Edition).
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.
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 | Book by Francois Chollet - Simon
Deep Learning with Python. By Francois Chollet. Published by Manning. Distributed by Simon & Schuster. 1st Edition Trade Paperback.
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
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