Deep Learning in Mining of Visual Content
This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning. It contains chapters whic...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2020, 2020
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| Edition: | 1st ed. 2020 |
| Series: | SpringerBriefs in Computer Science
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Supervised Learning Problem Formulation
- Neural Networks from Scratch
- Optimization Methods
- Deep in the Wild
- Convolutional Neural Networks as Image Analysis Tool
- Dynamic Content Mining
- Case Study for Digital Cultural Content Mining
- Introducing Domain Knowledge