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Deep Learning: Algorithms and Applications

Overview of attention for book
Cover of 'Deep Learning: Algorithms and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Activation Functions
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    Chapter 2 Adversarial Examples in Deep Neural Networks: An Overview
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    Chapter 3 Representation Learning in Power Time Series Forecasting
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    Chapter 4 Deep Learning Application: Load Forecasting in Big Data of Smart Grids
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    Chapter 5 Fast and Accurate Seismic Tomography via Deep Learning
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    Chapter 6 Traffic Light and Vehicle Signal Recognition with High Dynamic Range Imaging and Deep Learning
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    Chapter 7 The Application of Deep Learning in Marine Sciences
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    Chapter 8 Deep Learning Case Study on Imbalanced Training Data for Automatic Bird Identification
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    Chapter 9 Deep Learning for Person Re-identification in Surveillance Videos
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    Chapter 10 Deep Learning in Gait Analysis for Security and Healthcare
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    Chapter 11 Deep Learning for Building Occupancy Estimation Using Environmental Sensors
Attention for Chapter 5: Fast and Accurate Seismic Tomography via Deep Learning
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Citations

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15 Dimensions

Readers on

mendeley
3 Mendeley
Summary Dimensions citations
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Chapter title
Fast and Accurate Seismic Tomography via Deep Learning
Chapter number 5
Book title
Deep Learning: Algorithms and Applications
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-31760-7_5
Book ISBNs
978-3-03-031759-1, 978-3-03-031760-7
Authors

Mauricio Araya-Polo, Amir Adler, Stuart Farris, Joseph Jennings, Araya-Polo, Mauricio, Adler, Amir, Farris, Stuart, Jennings, Joseph

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Earth and Planetary Sciences 1 33%
Unknown 2 67%

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