Neural Networks for Babies
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Neural Networks for Babies
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?
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! DescriptionIntroduce 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
View allBook 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.
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
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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