Neural Networks for Babies

Neural Networks for Babies by Chris Ferrie is an illustrated board book published by Sourcebooks, Incorporated in 2019. This 24-page book introduces young readers to the concepts behind neural networks and smart technology through bright illustrations and simple language, making complex ideas accessible for early learners.
Readers will find that this book is designed to spark curiosity and confidence in discovery, making it suitable for STEAM-minded parents and educators. As part of the Baby University series, it transforms story time into an engaging exploration of how machines learn, providing a foundational understanding of technology and science for young minds.
Official synopsis Publisher
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.
Author
Publisher
Topics
FAQ
What is “Neural Networks for Babies” about?
Who is the author of “Neural Networks for Babies”?
When was “Neural Networks for Babies” published?
What is the ISBN for “Neural Networks for Babies”?
What are the book details (language, pages, edition)?
