Deep Learning: Step-by-Step | A Sensible Guide Presenting the Concepts of Deep Learning With Real-World Examples (Machine Learning Series Book 2)

Harper, Matthew

ISBN 10: 1717374182 / ISBN 13: 9781717374189

Published by CreateSpace Independent Publishing Platform, 2018

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Bibliographic Details

• Title: Deep Learning: Step-by-Step | A Sensible Guide Presenting the Concepts of Deep Learning With Real-World Examples (Machine Learning Series Book 2)
• Publisher: CreateSpace Independent Publishing Platform
• Publication Date: 2018
• Language: English
• ISBN 10: 1717374182
• ISBN 13: 9781717374189
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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Have you ever wondered how large corporations like Amazon, Google, Facebook, and Twitter know so much about you? Deep learning.

Have you ever wondered how the same advertisements keep showing up wherever you go? Have you ever used Google Translate to communicate with someone who didn’t speak your language?

The reality is that deep learning and its predecessor, machine learning, has had a hand with all of it.

Anyone interested in the future would find deep learning to be a fascinating subject. This new and innovative form of computer science is already changing the way we live our lives in countless ways. It is the technology that is making things easier, faster, and more efficient.

This book will explain to you in simple layman’s terms the basic foundation and concept of deep learning and how it works. Here you’ll learn:

• How deep learning came about and the basic concept behind it
  
• The different aspects of deep learning
  
• The different types of machine learning and what they are used for
  
• Basic understanding of how it works
  
• Several applications of the technology already in use today
  
• What the future holds for you and deep learning

Through the pages of this book, our goal is to guide you step-by-step to a better understanding of this amazing technology, so you can see how beneficial it will be and the impact it will have on all of us. Whether you’re just curious about it or you’re seriously considering launching into a new career with deep learning, it is definitely worth taking the time to read this book. We hope it will enlighten you and better yet inspire you to dig for more precious gems of knowledge in the future.