Neural Networks for Babies

Ferrie, Chris; Kaiser, Sarah

ISBN 10: 1492671207 ISBN 13: 9781492671206

Verlag: Sourcebooks Explore, 2019

Sprache: Englisch

Zustand: Gebraucht - Befriedigend Hardcover

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Bestandsnummer des Verk�ufers G1492671207I3N01

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Bibliografische Details

Titel

Neural Networks for Babies

Verlag

Sourcebooks Explore

Erscheinungsjahr

2019

Sprache

Englisch

ISBN-10

1492671207

ISBN-13

9781492671206

Einband

Board book

Zustand

Good

Zustand des Schutzumschlags

No Jacket

Verk�uferkataloge

�ber diesen Titel

Inhaltsangabe

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

Help your future genius become the smartest baby in the room! It only takes a small spark to ignite a child's mind.

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. With scientific and mathematical information from an expert, this installment of the Baby University board book series is the perfect book for enlightening the next generation of geniuses. After all, it's never too early to become a scientist!

If you're looking for programming for babies, coding for babies, or more Baby University board books to surprise your little one, look no further! Neural Networks for Babies offers fun early learning for your little scientist!

�ber die Autorin bzw. den Autor

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.

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