LIFAT Training Resources

Introduction to AI and Machine Learning (for non specialists in computer science)

The LIFAT provides trainings about AI and Machine Learning every year to different students (Medecine, Humanities, ...) of the University of Tours
Restricted access for the moment (ENT-Celene)
- UERB Medecine - Introduction to AI Level 1 (done in 2020 and 2021)
- UERB Medecine - Introduction to AI Level 2 (done in 2020 and 2021)
- Introduction to data science (via celene) - Master HN DCPM - CESR (done since 2019 until now)
- From data science to Machine Learning (slides in french - Lecture 1 - Lecture 2) HN DCPM - CESR

The LIFAT has organized a one day training about AI and Deep Learning in March 2020 proposed to all the students, researchers and professors SFR Neuro and other Regional Research Institutes
Lecture 1 - JY Ramel (LIFAT)
Lecture 2 - T Brouard (LIFAT)
Lecture 3 - R. Raveaux (LIFAT)
Lecture 4 - L Petit (UMR5293 – Centre Broca Nouvelle-Aquitaine=

Each year, the LIFAT organizes a one day training about Deep Learning proposed to all the students, researchers and professors of the INSA CVL and Université de Tours
Slides of the lecture
Associated practical work

Agora and Retro are software used by libraries to extract information inside historical books. Each year, a one day training is organized for students of the CESR or researchers interested in Old Text Transcription:
The main Lecture
Resources for the practical works

In 2017, the Université of Tours and Poitiers organised a French-Chinese summer school. During this week, the LIFAT proposes the following lessons:
Structural Image Processing : Part 1 - Part 2 - Practical Work
from Image Analysis to Machine Learning
3D and virtual reality

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