| Book Name: | [PDF] Deep Learning with Python by Francois Chollet |
| Category: | Python Programming |
| Language: | English |
| Format: | |
| Free Download: | Available |
Free Download Deep Learning with Python by Francois Chollet PDF Book
Book Description:
With this extensively revised new edition of the bestseller original, discover the revolutionary advancements of deep learning. Learn realistic Python deep learning techniques that are simple to use in the real world directly from the Keras inventor.
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
Thanks to Deep Learning with Python, thousands of readers have learned how to use deep learning’s full potential. This second version, which has undergone substantial revision, covers deep learning with Python and Keras and is packed with tips for both inexperienced and seasoned machine learning practitioners. You’ll pick from useful tips and tricks that you can use immediately as well as crucial theory for developing 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
The powerful Keras package and Python are used to explain the field of deep learning in Deep Learning with Python, Second Edition. Creator of Keras François Chollet provides guidance for both inexperienced and seasoned machine learning practitioners in this updated and enlarged new edition. You will increase your understanding as you read this book thanks to the intuitive explanations, sharp illustrations, and understandable examples. You’ll gain the necessary skills to begin creating deep-learning apps very rapidly.
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 the Keras deep-learning library creator.
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 PDF
Author(s): François Chollet
Publisher: Manning Publications, Year: 2021
ISBN: 1617296864,9781617296864
