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

Author:   George A. Tsihrintzis ,  Lakhmi C. Jain
Publisher:   Springer Nature Switzerland AG
Edition:   2020 ed.
Volume:   18
ISBN:  

9783030497262


Pages:   430
Publication Date:   25 July 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications


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Author:   George A. Tsihrintzis ,  Lakhmi C. Jain
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2020 ed.
Volume:   18
Weight:   0.676kg
ISBN:  

9783030497262


ISBN 10:   3030497267
Pages:   430
Publication Date:   25 July 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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A very important and truly outstanding Contribution ... . I recommend it as a 'must read' reference for researchers, practitioners, and higher research degrees students who want to experience truly exciting deep dive into a full-fledged deep learning. ... the most important advantage of the book is the fact that it leaves its reader with a heightened ability to think - in different ways - about developing, evaluating, and implementing deep learning-based techniques and technologies in real life environments. (Edward Szczerbicki, Intelligent Decision Technologies, Vol. 15, 2021)


“A very important and truly outstanding Contribution … . I recommend it as a ‘must read’ reference for researchers, practitioners, and higher research degrees students who want to experience truly exciting deep dive into a full-fledged deep learning. … the most important advantage of the book is the fact that it leaves its reader with a heightened ability to think – in different ways – about developing, evaluating, and implementing deep learning-based techniques and technologies in real life environments.” (Edward Szczerbicki, Intelligent Decision Technologies, Vol. 15, 2021)


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