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Machine Learning: Neural Networks Understand How Neural Networks Work, Deep L...

Description: Machine Learning: Neural Networks Understand How Neural Networks Work, Deep Learning a Sensible Guide Presenting the Concepts by Harper, Matthew, ISBN 1721264337, ISBN-13 9781721264339, Like New Used, Free shipping in the US This Book Includes: Neural Networks and Deep Learning! Book 1)Neural Networks: Step-by-Step | Understand How Neural Networks Work, Starting With Simple Ideas (Machine Learning Series Book 1)Machines are observing your habits, learning your patterns and adjusting their behaviour accordingly. Understand the concepts behind this amazing technology, step-by-step. Neural Networks are the key componentA machine capable of learning is already here, it is real and it is exciting. Many may not be aware of it but it already plays an important role in our lives in many ways. Ever wonder how all those lists of websites can come up so quickly when you do a Google search? What about how Amazon knows exactly what to recommend to you every time you visit their website? And what about how Netflix can choose a list of shows that suit your taste perfectly? Understand how a machine learnsHow these computers are capable of doing all of these things is the subject of this book. Using this book as a guide, we’ll come to understand how the art of neural networks has made it possible for computer science to turn in a whole new direction, opening the doors to an amazing new era of technology. A complex topic made simpleEven as a novice in this industry, you will understand the basics of what neural networks are, how they work, and the many tasks you can apply them to, including: Algorithms and how they workThe concepts behind neural networksThe basic architecture of a neural networkThe different technical aspects of these programsThe different types of neural networks Book 2)Deep Learning: Step-by-Step | A Sensible Guide Presenting the Concepts of Deep Learning With Real-World Examples (Machine Learning Series Book 2)We exist at a time that only a half-century ago was the stuff of science fiction. Discover how deep learning have the ability to do things never thought possible. Understand how Deep Learning worksHave you ever wondered how large corporations like Amazon, Google, Fac, and Twitter know so much about you? How do the same advertisements keep showing up wherever you go? 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. Grasp the concept behind itMatthew Harper is the author of the machine learning series and an entrepreneur. Having a Master’s Degree in engineering allows him to write both from experience and expertise. He has built an intelligent machine himself and brings his knowledge to you in an educational learning has probably become one of the most complex developments that mankind has created to date. 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, making things easier, faster, and more efficient. Simple enough for the laymanThis book will explain to you in simple layman’s terms the basic foundation and concept of deep learning and how it works, including: How deep learning came about and the basic concept behind itThe different aspects of deep learningThe different types of machine learning and what they are used forBasic understanding of how it worksSeveral applications of the technology already in use todayWhat the future holds for you and deep learning

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Machine Learning: Neural Networks Understand How Neural Networks Work, Deep L...Machine Learning: Neural Networks Understand How Neural Networks Work, Deep L...

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Book Title: Machine Learning: Neural Networks Understand How Neural Networks

Number of Pages: 148 Pages

Language: English

Publication Name: Machine Learning : Neural Networks Understand How Neural Networks Work, Deep Learning a Sensible Guide Presenting the Concepts

Publisher: CreateSpace

Publication Year: 2018

Subject: Intelligence (Ai) & Semantics

Item Height: 0.3 in

Item Weight: 9.9 Oz

Type: Textbook

Item Length: 9 in

Subject Area: Computers

Author: Matthew Harper

Item Width: 6 in

Series: Machine Learning Ser.

Format: Trade Paperback

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