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Deep Learning: Concepts and Architectures

Overview of attention for book
Attention for Chapter 1: Deep Learning Architectures
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2 X users

Citations

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21 Dimensions

Readers on

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256 Mendeley
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Chapter title
Deep Learning Architectures
Chapter number 1
Book title
Deep Learning: Concepts and Architectures
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-31756-0_1
Book ISBNs
978-3-03-031755-3, 978-3-03-031756-0
Authors

Mohammad-Parsa Hosseini, Senbao Lu, Kavin Kamaraj, Alexander Slowikowski, Haygreev C. Venkatesh, Hosseini, Mohammad-Parsa, Lu, Senbao, Kamaraj, Kavin, Slowikowski, Alexander, Venkatesh, Haygreev C.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 256 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 15%
Student > Ph. D. Student 27 11%
Researcher 25 10%
Student > Bachelor 24 9%
Other 9 4%
Other 32 13%
Unknown 100 39%
Readers by discipline Count As %
Computer Science 66 26%
Engineering 42 16%
Agricultural and Biological Sciences 4 2%
Social Sciences 4 2%
Materials Science 4 2%
Other 30 12%
Unknown 106 41%