Computational Methods for Deep Learning Theoretic, Practice and Applications /
Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from g...
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| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Series: | Texts in Computer Science,
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| Online Access: | https://doi.org/10.1007/978-3-030-61081-4 |
Table of Contents:
- 1. Introduction
- 2. Deep Learning Platforms
- 3. CNN and RNN
- 4. Autoencoder and GAN
- 5. Reinforcement Learning
- 6. CapsNet and Manifold Learning
- 7. Boltzmann Machines
- 8. Transfer Learning and Ensemble Learning.