EAN: 9783031454677

BISHOP CHRISTOPHER M DEEP LEARNING

This book offers a comprehensive introduction to the central ideas that underpin deep learning.
It is intended both for newcomers to machine learning and for those already experienced in the
field. Covering key concepts relating to contemporary architectures and techniques  this
essential book equips readers with a robust foundation for potential future specialization. The
field of deep learning is undergoing rapid evolution  and therefore this book focusses on ideas
that are likely to endure the test of time. The book is organized into numerous bite-sized
chapters  each exploring a distinct topic  and the narrative follows a linear progression  with
each chapter building upon content from its predecessors. This structure is well-suited to
teaching a two-semester undergraduate or postgraduate machine learning course  while remaining
equally relevant to those engaged in active research or in self-study.  A full understanding of
machine learning requires some mathematical background and so the book includes a
self-contained introduction to probability theory. However  the focus of the book is on
conveying a clear understanding of ideas  with emphasis on the real-world practical value of
techniques rather than on abstract theory. Complex concepts are therefore presented from
multiple complementary perspectives including textual descriptions  diagrams  mathematical
formulae  and pseudo-code. Chris Bishop is a Technical Fellow at Microsoft and is the Director
of Microsoft Research AI4Science. He is a Fellow of Darwin College Cambridge  a Fellow of the
Royal Academy of Engineering  and a Fellow of the Royal Society.  Hugh Bishop is an Applied
Scientist at Wayve  a deep learning autonomous driving company in London  where he designs and
trains deep neural networks. He completed his MPhil in Machine Learning and Machine
Intelligence at Cambridge University. ¿Chris Bishop wrote a terrific textbook on neural
networks in 1995 and has a deep knowledge of the field and its core ideas. His many years of
experience in explaining neural networks have made him extremely skillful at presenting
complicated ideas in the simplest possible way and it is a delight to see these skills applied
to the revolutionary new developments in the field.¿ -- Geoffrey Hinton "With the recent
explosion of deep learning and AI as a research topic  and the quickly growing importance of AI
applications  a modern textbook on the topic was badly needed. The "New Bishop" masterfully
fills the gap  covering algorithms for supervised and unsupervised learning  modern deep
learning architecture families  as well as how to apply all of this to various application
areas." ¿ Yann LeCun  ¿This excellent and very educational book will bring the reader up to
date with the main concepts and advances in deep learning with a solid anchoring in
probability. These concepts are powering current industrial AI systems and are likely to form
the basis of further advances towards artificial general intelligence.¿ -- Yoshua Bengio

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