Neural Networks for Babies
Published on 1. March 2019
Book
Board book
24 pages
978-1-4926-7120-6 (ISBN)
Description
Jumpstart your child's curiosity with a board book that makes the wonders of neural networks simple and fun.
Neural Networks for Babies uses bright illustrations and easy language to introduce young minds to the ideas behind smart technology, all designed by real scientists.
Perfect for STEAM-minded parents, teachers, and anyone seeking an educational gift, this book sparks interest and confidence in discovery from the earliest years. Part of the trusted Baby University series, it turns story time into a playful journey through the basics of how machines "learn."
If you're searching for STEAM board books or a unique educational gift, Neural Networks for Babies makes a memorable first step into the world of science and technology.
Neural Networks for Babies uses bright illustrations and easy language to introduce young minds to the ideas behind smart technology, all designed by real scientists.
Perfect for STEAM-minded parents, teachers, and anyone seeking an educational gift, this book sparks interest and confidence in discovery from the earliest years. Part of the trusted Baby University series, it turns story time into a playful journey through the basics of how machines "learn."
If you're searching for STEAM board books or a unique educational gift, Neural Networks for Babies makes a memorable first step into the world of science and technology.
More details
Series
Language
English
Place of publication
United States
Publishing group
Sourcebooks, Inc
Target group
Children/juvenile
Interest Age: From 0 to 3 years
Illustrations
COLOUR ILLUSTRATIONS
Dimensions
Height: 202 mm
Width: 197 mm
Thickness: 15 mm
Weight
367 gr
ISBN-13
978-1-4926-7120-6 (9781492671206)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
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.