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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Deep Learning |
| Methodologies |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Deep Learning | Code | 614544013 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
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| Methodologies | Description |
| Guest lecture / keynote speech | Lectures explain the theoretical concepts using different digital resources. |
| Laboratory practice | Laboratory activities are based on the knowledge that students are acquiring in lectures. |
| Objective test | A test shall be administered to assess the theoretical and practical knowledge acquired by students |
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