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  • Neural Networks for Babies (Baby University)

Neural Networks for Babies
(Baby University)

Author
Chris Ferrie
Publication Date
March 01, 2019
Genre / Grade Band
Non-fiction /  K − 1st
Language
English
Format
Picture Book
Neural Networks for Babies (Baby University)
Description

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!

Publication date
March 01, 2019
Genre
Non-fiction
ISBN-13
9781492671206
Lexile Measure
460
Guided Reading Level
F
Publisher
Sourcebooks Explore
Series
Baby University
BISAC categories
JNF061000 - Juvenile Nonfiction | Technology | General
JNF012000 - Juvenile Nonfiction | Computers | General
Library of Congress categories
Picture books
Board books
Neural networks (Computer science)
Chris Ferrie
Chris Ferrie is a physicist, mathematician and father of three budding young scientists. He obtained his doctorate in Mathematical Physics from the University of Waterloo in Waterloo, Canada and currently holds a postdoctoral fellowship at the University of New Mexico in Albuquerque, New Mexico. Chris believes it is never too early to introduce children to the wild and wonderful world of physics!
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