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: 1. The basics of neural networks: The backpropagation algorithm is discussed in Chapter 2. Many traditional machine learning models can be understood as special cases of neural networ...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2023, 2023
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| Edition: | 2nd ed. 2023 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- An Introduction to Neural Networks
- The Backpropagation Algorithm
- Machine Learning with Shallow Neural Networks
- Deep Learning: Principles and Training Algorithms
- Teaching a Deep Neural Network to Generalize
- Radial Basis Function Networks
- Restricted Boltzmann Machines
- Recurrent Neural Networks
- Convolutional Neural Networks
- Graph Neural Networks
- Deep Reinforcement Learning
- Advanced Topics in Deep Learning