The Definitive Guide to

Neural Networks for Babies

Written by Chris Ferrie and Sarah Kaiser
Goodreads Rating - 3.7 / 5.0
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$9.99
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Mar 1, 2019
Publication Date
24
Pages
2-5
Target Age

What's This Book About

Publisher Summary

Neural Networks for Babies by Chris Ferrie is a colorfully simple introduction to the study of how machines and computing systems are created in a way that was inspired by the biological neural networks in animal and human brains. It is never too early to become a scientist!

With scientific and mathematical information from an expert, this is the perfect book for enlightening the next generation of geniuses.

What Kind of Book is Neural Networks for Babies

Book Lists That Include Neural Networks for Babies

Book Topics › nonfiction
Children's Books About Nonfiction
Book Topics › technology
Children's Books About Technology
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Who Wrote Neural Networks for Babies

author
Chris Ferrie

CHRIS FERRIE is an award-winning physicist and is the senior lecturer for Quantum Software and Information at the University of Technology-Sydney. He has a Masters in Applied Mathematics, BMath in Mathematical Physics and a PhD in Applied Mathematics. He lives in Australia with his wife and children.

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author
Sarah Kaiser

Dr. Sarah Kaiser has a PhD in physics (quantum information) from the University of Waterloo’s Institute for Quantum Computing, and now works as a Research Engineer at Pensar Development. Based in Seattle, she is an experimentalist specialized in building and breaking opto-electronic systems. Some of her favorite things: Talking about quantum technologies, good kayaking spots, and how fun it is to break things to learn how they work.

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Book Details

ISBN:
9781492671206
Publication Date:
March 1, 2019
ASIN/ISBN 10:
1492671207

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