Baskadia

Deep Learning with Python, Second Edition by

• Deep Learning with Python, Second Edition
  

• 
  

• Page: 504
  

• Format: pdf, ePub, mobi, fb2
  

• ISBN: 9781617296864
  

• Publisher: Manning
  

Download Deep Learning with Python, Second Edition

Free books download for iphone Deep Learning with Python, Second Edition by

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

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 
Deep Learning with Python, Second Edition (Paperback)
"Chollet is a master of pedagogy and explains complex concepts with minimal fuss, cutting through the math with practical Python code.
Python Machine Learning Cookbook: Over 100 recipes to
Buy Python Machine Learning Cookbook: Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd Edition on 
Best Sellers in Computer Neural Networks - Amazon.com
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall StreetMachine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with PythonDeep Learning with Python, Second EditionThe Hundred-Page Machine Learning BookThe Book of Why: The New Science of Cause and EffectThe Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our WorldInterpretable Machine Learning: A Guide For Making Black Box Models ExplainableDeep Learning: A Visual ApproachDeep Learning with Python (Second Edition)Architects of Intelligence: The Truth About AI from the People Building ItPython Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd EditionLearning From Data
Deep Learning - Amazon.com
Deep Learning with Python, Second Edition Only 15 left in stock - order soon. Learning 
Deep Learning with Python, Second Edition - Simon & Schuster
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 
Deep Learning with Python, Second Edition : Francois Chollet
Deep Learning with Python, Second Edition by Francois Chollet, 9781617296864, available at Book Depository with free delivery worldwide.Format: Paperback | 400 pagesPublication date: 28 Feb 2022Publisher: Manning PublicationsDimensions: 187.96 x 233.68 x 33.02mm | 1,0
François Chollet on Twitter: "Announcement: my book Deep
Announcement: my book Deep Learning with Python (2nd edition) has been released. 500 pages of code examples, theory, context, practical tips 
Deep Learning with Python, Second Edition Kindle Edition
This extensively revised second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML 
Amazon.com: Python Machine Learning - Second Edition
In a nutshell, the second edition of Python Machine Learning provides a healthy mix of theory and practical examples that most people found so helpful in the 
Exploring deep learning techniques and neural network
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition [Vasilev, Ivan,