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Deep Learning: Deep Learning for the Layman. Visual Guide without Maths added

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This book has been written in layman's terms as an introduction to deep learning and neural networks and their algorithms. Each algorithm is explained very easily for more understanding.


Instead of tough math formulas, this book contains several graphs and images which detail all algorithms and their applications in all area of the real life.


This book will help you explore exactly what deep learning is and will also teach you about why it is so revolutionary and fascinating. The chapters will introduce the reader to the concepts, techniques, and applications of deep learning algorithms with the practical case studies and walk-through examples on which to practice.
This book takes a different approach that is based on providing simple examples of how deep learning algorithms work, and building on those examples step by step to encompass the more complicated parts of the algorithms. 


The book designed for a variety of target audiences. The most suitable users would  







Is this book for me and do I need programming experience?
If you want to learn more about deep learning, this book is for you.No math or coding knowledges is required.

Can I loan this book to friends?
Yes. Under Amazon’s Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.

Does this book include everything I need to become a deep learning expert?
Unfortunately, no. This book is designed for readers taking their first steps in deep learning and further learning will be required beyond this book to master all aspects of deep learning.

Can I have a refund if this book is not fitted for me?
Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. will also be happy to help you if you send us an email at customer_service@datasciences-book.com.

105 pages, Kindle Edition

Published January 19, 2018

17 people are currently reading
15 people want to read

About the author

François Duval

20 books1 follower

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