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: | Book |
| Language: | English |
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Cham, Switzerland
Springer
2018
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Table of Contents:
- An Introduction to Neural Networks
- Machine Learning with Shallow Neural Networks
- Training Deep Neural Networks
- Teaching Deep Learners to Generalize
- Radical Basis Function Networks
- Restricted Boltzmann Machines
- Recurrent Neural Networks
- Convolutional Neural Networks
- Deep Reinforcement Learning
- Advanced Topics in Deep Learning