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. It is never too early to become a scientist! With scientific and mathematical information from an expert, this is the perfect book for enlightening the next generation of geniuses.
CHRIS FERRIE is an award-winning physicist and is the 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.
Nothing yet! Let Chris Ferrie know that you want to hear from them about their book.
Nothing yet! Let Sarah Kaiser know that you want to hear from them about their book.
Are you the author or illustrator? Claim your book.