Abstract

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical…

Citation impact

8,959
total citations
FWCI
423.09
Percentile
100%
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Authors

3

Topics & keywords

Keywords
  • Deep learning
  • Computer science
  • Artificial intelligence
  • Algorithmic learning theory
  • Machine learning
  • Computational learning theory
  • Active learning (machine learning)
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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