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Language of instruction
French, English
Teaching content
MB-IT
This course occurs in the following program(s)
Diplôme Ingénieur ISEN (Master's degree in electronics and information technology)
- Crédits ECTS: 3.00
Training officer(s)
N.IHADDADENE
Stakeholder(s)
N.IHADDADENE
Présentation
Prerequisite
• M1 Artificial Intelligence course
Goal
This course follows the M1 course of Artificial Intelligence. It discusses technologies and recent advances in Artificial Intelligence (AI), and in particular, the technologies related to Deep Learning.
Presentation
• Reminder: Artificial Intelligence and Machine Learning
• Deep Learning
• Convolutional Neural Networks
• Auto-encoders
• Generative Adversial Networks
• Recurrent Neural Networks
• Q Learning
• Applications and Projects
• Deep Learning
• Convolutional Neural Networks
• Auto-encoders
• Generative Adversial Networks
• Recurrent Neural Networks
• Q Learning
• Applications and Projects
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Face to face | |||
| Lectures - face to face | 28,00 | ||
| Independent study | |||
| Independent study | 30,00 | ||
| Overall student workload | 58,00 | ||
Evaluation