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Neural Networks for Babies

Series: Baby University
3.78 goodreads logo

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( 136 ratings, 15 reviews)
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Neural Networks for Babies by Chris Ferrie and Sarah Kaiser is a charming and simple introduction to the basics of neural networks. Using cute illustrations and straightforward language, this book makes complex topics accessible, showing how neural networks learn and operate through easily digestible concepts. It's perfect for curious young minds and beginners in artificial intelligence.
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Format: Board book
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you're looking to introduce young children to the fascinating world of neural networks in a simple and engaging way. This book uses colourful illustrations and straightforward explanations to make complex scientific concepts accessible to the youngest of readers.

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Neural Networks for Babies

Help your future genius become the smartest baby in the room by introducing them to neural networks with the next installment of the Baby University board book series!

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Introduce your future genius to the fascinating world of neural networks with the vibrant and engaging board book Neural Networks for Babies by Chris Ferrie and Sarah Kaiser. This charming instalment in the acclaimed Baby University board book series provides a brilliantly simple yet informative guide to understanding how machines and computing systems can simulate the human brain's neural networks.

In this delightful book, babies and toddlers will embark on a colourful journey through the basics of neural networks. From understanding neurons to appreciating how these tiny units come together to form complex networks that power modern artificial intelligence, this book makes intricate scientific concepts accessible and fun for the youngest of minds. Each page is filled with vivid illustrations and straightforward explanations that make learning an enjoyable experience.

Fans of Chris Ferrie’s other works such as ABCs of Economics, ABCs of Space, and Organic Chemistry for Babies will adore this new addition to the series. The philosophy behind Baby University books is to spark curiosity and instill a love of learning at an early age, and Neural Networks for Babies is no exception. It encourages a foundational understanding of how some of the most advanced technology today is inspired by the biology of the human brain.

The book is expertly written to cater to the cognitive level of infants and toddlers without compromising on the accuracy of the scientific content. Every page turn reveals a new piece of the neural network puzzle, making it perfect for budding scientists who are eager to explore the world of coding and programming from a tender age.

It only takes a small spark to ignite a child's mind, and Neural Networks for Babies is crafted to provide that spark. Its engaging content and captivating illustrations are designed to light up the imaginations of young readers and set them on a path to becoming the next generation of innovators and thinkers.

If you're in search of educational books that combine fun with foundational learning, Neural Networks for Babies is an excellent choice. It’s never too early for your little one to start exploring the wonders of science, technology, engineering, and maths (STEM), and this book ensures that early learning is both enjoyable and enriching.

Immerse your child in the world of neural networks and encourage their natural curiosity with this remarkable addition to the Baby University series!

Series: Baby University

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Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Neural Networks for Babies by Chris Ferrie and Sarah Kaiser is praised for simplifying complex concepts in a way that is accessible and engaging for young children. Reviewers appreciate the clear illustrations and find it a fun introduction to neural networks for both kids and their parents. It's noted as a great educational resource that makes learning enjoyable.

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Book Details

INFORMATION

ISBN: 9781492671206

Publisher: Sourcebooks, Inc

Format: Board book

Date Published: 01 March 2019

Country: United States

Imprint: Sourcebooks Explore

Audience: Children

DIMENSIONS

Spine width: 13.0mm

Width: 202.0mm

Height: 202.0mm

Weight: 374g

Pages: 24

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About the Author

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. He believes it is never too early to introduce small children to big ideas.

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