Deep learning (the mit press essential knowledge series), john d. kelleher
Описание
An accessible introduction to the artificial intelligence technology that
enables computer vision, speech recognition, machine translation, and
driverless cars. \n \nDeep learning is an artificial intelligence technology
that enables computer vision, speech recognition in mobile phones, machine
translation, AI games, driverless cars, and other applications. When we use
consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are
often interacting with a deep learning system. In this volume in the MIT Press
Essential Knowledge series, computer scientist John Kelleher offers an
accessible and concise but comprehensive introduction to the fundamental
technology at the heart of the artificial intelligence revolution. \n
\nKelleher explains that deep learning enables data-driven decisions by
identifying and extracting patterns from large datasets; its ability to learn
from complex data makes deep learning ideally suited to take advantage of the
rapid growth in big data and computational power. Kelleher also explains some
of the basic concepts in deep learning, presents a history of advances in the
field, and discusses the current state of the art. He describes the most
important deep learning architectures, including autoencoders, recurrent
neural networks, and long short-term networks, as well as such recent
developments as Generative Adversarial Networks and capsule networks. He also
provides a comprehensive (and comprehensible) introduction to the two
fundamental algorithms in deep learning: gradient descent and backpropagation.
Finally, Kelleher considers the future of deep learning—major trends, possible
developments, and significant challenges.
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