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
Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications

Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications

Tsihrintzis, George A.
Jain, Lakhmi C.

Hardcover

Series: Learning and Analytics in Intelligent Systems, Book 18

Technology & EngineeringGeneral ComputersProbability & Statistics

ISBN10: 3030497232
ISBN13: 9783030497231
Publisher: Springer
Published: Jul 24 2020
Pages: 430
Weight: 1.75
Height: 1.00 Width: 6.14 Depth: 9.21
Language: English

At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance.

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