Neural Networks for Babies

Neural Networks for Babies is a board book by Chris Ferrie that introduces the study of how machines and computing systems are created, inspired by the biological neural networks in animal and human brains. It is the perfect book for enlightening the next generation of geniuses, offering fun early learning for little scientists.

Format: Board book
Length: 24 pages
Publication date: 01 March 2019
Publisher: Sourcebooks, Inc

Fans of Chris Ferrie's beloved ABCs of Economics, ABCs of Space, and Organic Chemistry for Babies will absolutely adore this delightful introduction to neural networks for babies and toddlers!

Help your future genius shine bright and become the smartest baby in the room! It's incredible how a tiny spark can ignite a child's mind and set them on a path to greatness.

Neural Networks for Babies by Chris Ferrie is a captivating and visually appealing exploration of how machines and computing systems are designed, drawing inspiration from the biological neural networks found in animal and human brains. This installment in the Baby University board book series, authored by an expert in the field, is the perfect choice for enlightening the next generation of geniuses. After all, why wait until they're older to embark on a scientific journey?

If you're searching for programming for babies, coding for babies, or more Baby University board books to delight your little one, look no further! Neural Networks for Babies offers a delightful and engaging early learning experience for your curious little scientist!

Weight: 356g
Dimension: 202 x 203 x 19 (mm)
ISBN-13: 9781492671206