Handbook of Deep Learning Applications

Handbook of Deep Learning Applications Front Cover
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383 pages

Book Description

This book presents a broad range of deep-learning applications related to vision, , gene , arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear , has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

Book Details

  • Title: Handbook of Deep Learning Applications
  • Length: 383 pages
  • Edition: 1st ed. 2019
  • Language: English
  • Publisher:
  • Publication Date: 2019-02-26
  • ISBN-10: 3030114783
  • ISBN-13: 9783030114787
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