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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
  11. Altmetric Badge
    Chapter 10 Deep Learning in Gait Analysis for Security and Healthcare
  12. Altmetric Badge
    Chapter 11 Deep Learning for Building Occupancy Estimation Using Environmental Sensors
Attention for Chapter 8: Deep Learning Case Study on Imbalanced Training Data for Automatic Bird Identification
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Citations

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14 Dimensions

Readers on

mendeley
9 Mendeley
Summary Dimensions citations
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Chapter title
Deep Learning Case Study on Imbalanced Training Data for Automatic Bird Identification
Chapter number 8
Book title
Deep Learning: Algorithms and Applications
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-31760-7_8
Book ISBNs
978-3-03-031759-1, 978-3-03-031760-7
Authors

Juha Niemi, Juha T. Tanttu, Niemi, Juha, Tanttu, Juha T.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Librarian 1 11%
Student > Bachelor 1 11%
Other 1 11%
Unknown 4 44%
Readers by discipline Count As %
Computer Science 2 22%
Business, Management and Accounting 1 11%
Agricultural and Biological Sciences 1 11%
Engineering 1 11%
Unknown 4 44%

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