Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Handbook of Deep Learning Applications

Handbook of Deep Learning Applications

Roy, Sanjiban Sekhar
Sharma, Dharmendra
Balas, Valentina Emilia

Hardcover

Series: Smart Innovation, Systems and Technologies, Book 136

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 3030114783
ISBN13: 9783030114787
Publisher: Springer Nature
Published: Mar 6 2019
Pages: 383
Weight: 1.59
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English

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.

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