Neural Networks 2
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
818NES2 | Z | 2 | 1+1 | Czech |
- Course guarantor:
- Kateřina Horaisová
- Lecturer:
- Kateřina Horaisová
- Tutor:
- Kateřina Horaisová
- Supervisor:
- Department of Software Engineering
- Synopsis:
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The second module is oriented first to multi-layer neural networks and next to self-organized artificial neural networks. The biological context, cluster analysis and principal component analysis are used for self-organized artificial neural network realization. Self-organization is discussed in vector spaces.
- Requirements:
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Basic knowledges from linear algebra.
- Syllabus of lectures:
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1. Multi-layer perceptron, universal approximation, backpropagation.
2. Vector space with Minkowski metrics.
3. Cluster analysis in vector space.
4. Self-organization, patterns, etalons.
5. SOM topology, Kohonen learning of SOM.
6. Traditional principal component analysis.
7. Introduction to deep learning with a focus on convolutional neural networks.
- Syllabus of tutorials:
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1. Multi-layer perceptron, universal approximation, backpropagation.
2. Vector space with Minkowski metrics.
3. Cluster analysis in vector space.
4. Self-organization, patterns, etalons.
5. SOM topology, Kohonen learning of SOM.
6. Traditional principal component analysis.
7. Introduction to deep learning with a focus on convolutional neural networks.
- Study Objective:
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Knowledge:
Mutli-layer perceptron, cluster analysis, self-organized artificial neural networks, basis of deep learning.
Abilities:
Use of mutli-layer perceptron, use of cluster analysis, use of self-organization, use of deep learning for classification.
- Study materials:
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Compulsory literature:
[1] J. Šíma, R. Neruda: Teoretické otázky neuronových sítí, Matfyzpress, Praha, 1996.
[2] M. Šnorek: Neuronové sítě a neuropočítače, ČVUT, Praha 2002
Recommended literature:
[3] S. Haykin: Neural Networks, Macmillan, New York, 1994.
[4] L.V. Fausett: Fundamentals of Neural Networks: Architectures, Algorithms and Applications, Prentice Hall, New Jersey, 1994.
- Note:
- Time-table for winter semester 2024/2025:
- Time-table is not available yet
- Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans:
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- Applications of Informatics in Natural Sciences (elective course)