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.
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