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
Ebook free download for pc Deep Learning with Python, Second Edition RTF by 9781617296864
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 (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, Second Edition - Free Computer
This book introduces the field of deep learning using Python and the powerful Keras library. It offers insights for both novice and experienced machine
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
This extensively revised full color 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 Python, Second Edition Book - Skillsoft
This book introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator…
Python Machine Learning - Second Edition | Packt
Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has
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Machine learning, deep learning, and AI come up in countless articles, “Within a generation … the problem of creating 'artificial intelligence' will
Machine Learning with TensorFlow, Second Edition - Manning
Requires intermediate Python skills and knowledge of general algebraic concepts like vectors and matrices. Examples use the super-stable 1.15.x branch of
Deep Learning with Python, Second Edition (Paperback)
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 Publication Date: December, 2021Publisher: Manning Publications$56.54 · In stock
deep-learning-with-python-notebooks/README.md at master
This repository contains Jupyter notebooks implementing the code samples found in the book Deep Learning with Python, 2nd Edition (Manning Publications).
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