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Deep Learning: Fundamentals, Theory and Applications

The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress, discuss the most popular deep learning platforms and data sets, and describe how ma...

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Corporate Author: SpringerLink (Online service)
Other Authors: Huang, Kaizhu. (Editor, http://id.loc.gov/vocabulary/relators/edt), Hussain, Amir. (Editor, http://id.loc.gov/vocabulary/relators/edt), Wang, Qiu-Feng. (Editor, http://id.loc.gov/vocabulary/relators/edt), Zhang, Rui. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Cognitive Computation Trends, 2
Subjects:
Medicine.
Artificial intelligence.
Algorithms.
Biomedicine, general.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-030-06073-2

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