Chapter 25. Learning from Observations 7.16 - 25.8. Artificial Neural Networks (Part 3)/ClipID:30384 previous clip next clip

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Recording date 2021-03-30
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Course

Artificial Intelligence (AI-2) SS 2021

Lecturer

Prof. Dr. Michael Kohlhase

Via

Free

Language

English

Organisational Unit

Professur für Wissensrepräsentation und -verarbeitung

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

Format

lecture

Type

university lecture

Perceptron learning compared to Decision Tree Learning. Introduction of Multilayer perceptrons and their expressiveness. Also, the Output Layer and Hidden Layers for Learning in Multilayer Networks are explained. 

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Chapter 25. Learning from Observations 7.17 - 25.8. Artificial Neural Networks (Part 4)
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Chapter 25. Learning from Observations 7.18 - 25.9. Support Vector Machines
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Chapter 25. Learning from Observations 7.19 - Bonus: Science Slam
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Chapter 26. Statistical Learning 8.1 - 26.1. Full Bayesian Learning
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Chapter 26. Statistical Learning 8.2 - 26.2. Approximations of Bayesian Learning
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