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- Machine and Deep Learning
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92819
- Description
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Course Program
- Bayesian Theory of Decision.
- Parametric and non-parametric Classification Techniques.
- Classifiers based on Learning: Support Vector, Neural Networks, Multiclassifier Systems.
- Techniques to Evaluate and Improve the Performance of Classifiers.
- Introduction to Deep Learning: Convolutional Networks (CNN), Recurrent Networks (RNN), Generative Adversarial Networks (GAN), Autoencoders.
- ECTS credits
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6
- Teaching Language
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English
- Exam Language
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English
- Support Materials Language
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English
- Basic Learning Outcomes
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- Managing Entity (faculty)
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Department of Electrical and Information Engineering (UNICAS)
