Neural Networks for Babies
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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.
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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.
