Handbook of Deep Learning Applications is popular PDF and ePub book, written by Valentina Emilia Balas in 2019-02-25, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Handbook of Deep Learning Applications can be Read Online from any device for your convenience.
Handbook of Deep Learning Applications Book PDF Summary
This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data 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 units, 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 modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.
Detail Book of Handbook of Deep Learning Applications PDF
- Author : Valentina Emilia Balas
- Release : 25 February 2019
- Publisher : Springer
- ISBN : 9783030114794
- Genre : Technology & Engineering
- Total Page : 383 pages
- Language : English
- PDF File Size : 20,8 Mb
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