Deep Learning

Deep Learning Front Cover
5 Reviews
296 pages

Book Description

An accessible introduction to the artificial technology that enables computer vision, speech recognition, machine translation, and driverless cars.

Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from , Microsoft, Facebook, , 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.

Kelleher 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 , and long short-term , as well as such recent developments as Generative Adversarial and capsule . He also provides a comprehensive (and comprehensible) introduction to the two fundamental in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning―major trends, possible developments, and significant challenges.

Book Details

  • Title: Deep Learning
  • Author:
  • Length: 296 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-09-10
  • ISBN-10: 0262537559
  • ISBN-13: 9780262537551