Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease

by Steven Cooper

If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, then you need to continue reading. This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies that show computer systems taking over the world like, Terminator, or benevolent systems that watch over the population, i.e. Person of Interest, this should be right up your alley.

This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning, that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible. Grab your copy today and The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.

This book is probably one of the best books for beginners. It's a step-by-step guide for any person who wants to start learning deep learning and artificial intelligence from scratch.

When data science can reduce spending costs by billions of dollars in our economy, why wait to jump in?

188 pages, Hardcover

Published November 10, 2019

About the author

Steven Cooper is a freelance writer, producer, and the author of three previous novels. A former television reporter, he has received multiple Emmy awards and nominations, a national Edward R. Murrow Award, and many honors from the Associated Press. He taught writing at Rollins College (Winter Park, FL) from 2007 to 2012. He currently lives in Atlanta.

Reviews

[Kevin Hollins · Rating 1 out of 5]

The audience for the book is really hardcore coders. Some basic concepts are addressed, but there are references that require a great deal of prerequisite knowledge. For the non-engineer interested in the higher level concepts of deep learning, I learned more from reading Life 3.0 by Max Tegmark.