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Neural Networks for Babies

(Board book)


Publishing Details

Full Title:

Neural Networks for Babies

Contributors:

By (Author) Chris Ferrie
By (author) Sarah Kaiser

ISBN:

9781492671206

Publisher:

Sourcebooks, Inc

Imprint:

Sourcebooks Explore

Publication Date:

1st March 2019

UK Publication Date:

1st April 2019

Country:

United States

Classifications

Readership:

Children

Fiction/Non-fiction:

Fiction

Dewey:

006.32

Physical Properties

Physical Format:

Board book

Number of Pages:

24

Dimensions:

Width 205mm, Height 205mm, Spine 15mm

Weight:

377g

Description

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! Fans of Chris Ferrie's ABCs of Economics, ABCs of Space, and Organic Chemistry for Babies will love this introduction to neural networks for babies and toddlers! Help your future genius become the smartest baby in the room! It only takes a small spark to ignite a child's mind. 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. With scientific and mathematical information from an expert, this installment of the Baby University board book series is the perfect book for enlightening the next generation of geniuses. After all, it's never too early to become a scientist! If you're looking for programming for babies, coding for babies, or more Baby University board books to surprise your little one, look no further! Neural Networks for Babies offers fun early learning for your little scientist!

Author Bio

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. He believes it is never too early to introduce small children to big ideas.

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