This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject’s traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning.
Mathematics for Young Children is a book for people who feel nervous or uncertain about teaching maths to young children. If you are anxious and confused about the subject this might just be the book you are looking for! It covers all the basic topics young children need to know about maths. It starts at the beginning and, in an open and friendly way, opens new horizons exploring fundamental ideas you may never have known you never knew. Had you realised that, for example, zero (0) means much more than simply nothing, you might have found yourself enjoying maths at school. The book begins by introducing six young friends who follow us through each chapter, providing a range of fun activities for you and your children to further your mathematical confidence. Written by early years educators, this book will offer safe and sympathetic guidance for any reader.
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A group of friends made it their life-long mission to go to the Super Bowl and meet NFL superstar Tom Brady.
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