Téléchargez le livre : Machine Learning Paradigms

Machine Learning Paradigms

Advances in Deep Learning-based Technological Applications de

,

Éditeur :

Springer


Collection :

Learning and Analytics in Intelligent Systems

Paru le : 2020-07-23

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Description

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. 

This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.
Pages
430 pages
Collection
Learning and Analytics in Intelligent Systems
Parution
2020-07-23
Marque
Springer
EAN papier
9783030497231
EAN PDF
9783030497248
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
15688 Ko
Prix
147,69 €
EAN EPUB
9783030497248
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
70676 Ko
Prix
147,69 €

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