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Book Review: Deep Learning
Author(s) -
Kwang Gi Kim
Publication year - 2016
Publication title -
healthcare informatics research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.684
H-Index - 29
eISSN - 2093-369X
pISSN - 2093-3681
DOI - 10.4258/hir.2016.22.4.351
Subject(s) - computer science , data science , deep learning , artificial intelligence
This book offers a solution to more intuitive problems in these areas. These solutions allow computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined in terms of its relationship to simpler concepts. By gathering knowledge from experience, this approach avoids the need for human operators to specify formally all of the knowledge needed by the computer. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones. If the authors draw a graph to show how these concepts have been built on top of each other, the graph will be deep, with many layers. For this reason, the authors call this approach “AI Deep Learning.”

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