Title Page
by Sven Dickinson, Gerard Medioni, Mohammed Bennamoun, Syed Ali Shah, Hossein Rahma
A Guide to Convolutional Neural Networks for Computer Vision
- Cover
- Copyright
- Title Page
- Dedication
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- 2 Features and Classifiers
- 3 Neural Networks Basics
- 4 Convolutional Neural Network
- 4.1 Introduction
- 4.2 Network Layers
- 4.2.1 Pre-processing
- 4.2.2 Convolutional Layers
- 4.2.3 Pooling Layers
- 4.2.4 Nonlinearity
- 4.2.5 Fully Connected Layers
- 4.2.6 Transposed Convolution Layer
- 4.2.7 Region of Interest Pooling
- 4.2.8 Spatial Pyramid Pooling Layer
- 4.2.9 Vector of Locally Aggregated Descriptors Layer
- 4.2.10 Spatial Transformer Layer
- 4.3 CNN Loss Functions
- 5 CNN Learning
- 6 Examples of CNN Architectures
- 7 Applications of CNNs in Computer Vision
- 8 Deep Learning Tools and Libraries
- 9 Conclusion
- Bibliography
- Authors’ Biographies
A Guide to Convolutional Neural Networks for Computer Vision
Salman Khan
Data61-CSIRO and Australian National University
Hossein Rahmani
The University of Western Australia, Crawley, WA
Syed Afaq Ali Shah
The University of Western Australia, Crawley, WA
Mohammed Bennamoun
The University of Western Australia, Crawley, WA
SYNTHESIS LECTURES ON COMPUTER VISION #15
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