Deep Learning Research and Applications
This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which h...
| Other Authors: | , , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Boston
De Gruyter,
[2020]
|
| Series: | De Gruyter frontiers in computational intelligence ;
v. 7. |
| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of Contents:
- Frontmatter
- Preface
- Contents
- List of Contributors
- 1 Deep Learning
- A State-of-the-Art Approach to Artificial Intelligence
- 2 Convolutional Neural Networks: A Bottom-Up Approach
- 3 Handwritten Digit Recognition Using Convolutional Neural Networks
- 4 Impact of Deep Neural Learning on Artificial Intelligence Research
- 5 Extraction of Common Feature of Dysgraphia Patients by Handwriting Analysis Using Variational Autoencoder
- 6 Deep Learning for Audio Signal Classification
- 7 Backpropagation Through Time Algorithm in Temperature Prediction
- Index
