Neural Networks and Deep Learning A Textbook
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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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2018, 2018
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| Edition: | 1st ed. 2018 |
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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