Deep Learning Foundations
This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The first part provides traditional supervised learning, traditional unsupervised learning, and ensembl...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2023, 2023
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| Edition: | 1st ed. 2023 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Part I. Foundation
- Supervised Learning
- Unsupervised Learning
- Ensemble Learning
- Part II. Deep Machine Learning
- Deep K Nearest Neighbor
- Deep Probabilistic Learning
- Deep Decision Tree
- Deep SVM
- Part III. Deep Neural Networks
- Multiple Layer Perceptron
- Recurrent Networks
- Restricted Boltzmann Machine
- Convolutionary Neural Networks
- Part IV. Textual Deep Learning
- Index Expansion
- Text Summarization
- Textual Deep Operations
- Convolutionary Text Classifier
- Conclusion