Neural Networks for Babies

Neural Networks for Babies

by Chris Ferrie, Sarah Kaiser

Board Book

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Overview

Help your future genius become the smartest baby in the room by introducing them to neural networks with the next installment of the Baby University board book series!

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.

Product Details

ISBN-13: 9781492671206
Publisher: Sourcebooks
Publication date: 03/01/2019
Series: Baby University Series
Pages: 24
Sales rank: 250,474
Product dimensions: 7.90(w) x 7.80(h) x 0.60(d)
Lexile: AD460L (what's this?)
Age Range: 18 Months to 3 Years

About the Author

Chris Ferrie is an award-winning physicist and 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.

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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