Neural Networks and Deep Learning [E-Book] : A Textbook / by Charu C. Aggarwal
This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on under...
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Full text |
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Personal Name(s): | Aggarwal, Charu C., author |
Edition: |
1st edition 2018 |
Imprint: |
Cham :
Springer,
2018
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Physical Description: |
XXIII, 497 pages 139 illustrations, 11 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783319944630 |
DOI: |
10.1007/978-3-319-94463-0 |
Subject (LOC): |
- 1 An Introduction to Neural Networks
- 2 Machine Learning with Shallow Neural Networks
- 3 Training Deep Neural Networks
- 4 Teaching Deep Learners to Generalize
- 5 Radical Basis Function Networks
- 6 Restricted Boltzmann Machines
- 7 Recurrent Neural Networks
- 8 Convolutional Neural Networks
- 9 Deep Reinforcement Learning
- 10 Advanced Topics in Deep Learning.