Course unit
Applications
Last updated: 22/02/2024
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Course Director(s):
DEBAYLE Johan
General Description:
The objective of this UP is to get basic knowledge about machine learning on images for real applications. The training will be done on one or two real applications of image and pattern recognition, in the form of a case study, by using the mathematical and computational tools provided in the previous UPs.
This UP is mainly composed of tutorials (in the form of a case study) using Python (23h). A report on the selected subject will be asked to the student to evaluate his ability to use some basic machine learning techniques to answer image and pattern recognition applicative problems.
Key words:
Machine learning
neural networks
interpretation
decision
Number of teaching hours
23
Fields of study
Teaching language
French
English
Intended learning outcomes
| On completion of the unit, the student will be capable of: |
Classification level |
Priority |
Learning assessment methods
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Percentage ratio of individual assessment
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Percentage ratio of group assessment
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|
Written exam:
|
50
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%
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Project submission:
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%
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|
Individual oral exam:
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%
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Group presentation:
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%
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|
Individual presentation:
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|
%
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Group practical exercise:
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50
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%
|
|
Individual practical exercise:
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|
%
|
Group report:
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|
%
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|
Individual report:
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|
%
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|
|
|
|
Other(s): %
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Programme and content
| Type of teaching activity |
Content, sequencing and organisation |
| Case study |
Case study using Python / 23h |