Computational Methods for Deep Learning [E-Book] : Theory, Algorithms, and Implementations / by Wei Qi Yan.
The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this...
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Full text |
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Personal Name(s): | Yan, Wei Qi, author |
Edition: |
2nd edition 2023. |
Imprint: |
Singapore :
Springer,
2023
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Physical Description: |
XX, 222 pages 40 illustrations, 36 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9789819948239 |
DOI: |
10.1007/978-981-99-4823-9 |
Series Title: |
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Texts in Computer Science
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Subject (LOC): |
- 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.