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C**N
This book is most suited to students planning careers in industry or research.
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a series of ordered groupings of concepts. Deep learning and machine learning are Artificial Intelligence.A well written reference book for a difficult subject.The author provide an easy explanation on the concepts of deep learning and at the same time provides a practical approach to deep learning.This book is most suited to students planning careers in industry or research.
A**V
... find more information about Deep Learning and my colleague recommended me this guide
I wanted to find more information about Deep Learning and my colleague recommended me this guide. In this book I found much interesting and important information: an overview of Deep Learning, the basics models for Deep Learning, relevant architectures and algorithms. This book is described in the simple language and easy to understand. This guide really helped me a lot in understanding Deep Learning. The writing is interesting, concise, well organized and clear. This book includes all helpful information that you need as a beginner. The author has done an incredible awesome job in compiling and creating this book. I liked this guide very much and I recommend it to anyone who wants to learn more about Deep Learning. It is worth reading.
H**U
It reads like it is also an auto translated text with errors ...
To start, the book is self published with Amazon. It reads like it is also an auto translated text with errors like using "paragraph instead of "chapter". I found the flow of the explanations confusing and disjointed. The equations, of which there are a few, are massive and the many variables used are poorly defined. The saying goes "If your granny can understand your descriptions you really understand a topic. I have a really sharp cookie granny but its hopeless because after reading this book I was more confused than when I started.If you are new to this topic as I am, I'd suggest Michael Taylor's Neural Networks, A Visual Introduction. It too is self published with some similar quirks like no page numbers, but flows and has a start simple and expend teaching methodology. It even develops a simple numerical example that is easy to understand.
A**N
One Star
This book is trash.
K**L
Very nice!
I liked it, but some were a bit complex. Everything else was superb. I would recommend it to any one interested in the field.
S**3
Two Stars
A lot of mistakes and errors...
A**N
One Star
This book is trash.
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