https://github.com/alainlebret/python-et-ia-2
Personal resources from my course "Python & IA"
https://github.com/alainlebret/python-et-ia-2
artificial-intelligence deep-learning image-processing machine-learning matplotlib neural-network numpy python scikit-image scikit-learn
Last synced: 6 months ago
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Personal resources from my course "Python & IA"
- Host: GitHub
- URL: https://github.com/alainlebret/python-et-ia-2
- Owner: alainlebret
- License: other
- Created: 2024-09-23T10:43:55.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-23T11:03:28.000Z (7 months ago)
- Last Synced: 2025-02-23T11:30:49.799Z (7 months ago)
- Topics: artificial-intelligence, deep-learning, image-processing, machine-learning, matplotlib, neural-network, numpy, python, scikit-image, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 151 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Cours Python et intelligence artificielle / # Python and artificial intelligence course
Ce dépôt contient la deuxième partie des blocs-notes Jupyter du cours "Python et intelligence artificielle" en 2ème année de la filière [GPSE](https://www.ensicaen.fr/formation/diplomes-dingenieurs/formation-statut-etudiant/genie-physique-et-systemes-embarques/) proposés à l'[ENSICAEN](https://www.ensicaen.fr). Ces blocs-notes sont plus particulièrement adaptés au étudiants en "ingénierie physique et capteurs" (IPC) et "génie nucléaire et énergie" (GeNE).
## Séances
### Partie 2
- Séance n°7 : [Apprentissage supervisé et régression](seance_07.ipynb)
- Séance n°8 : [Optimisation et descente de gradient](seance_08.ipynb)
- Séance n°9 : [Apprentissage supervisé et classification](seance_09.ipynb)
- Séance n°10 : [Apprentissage par renforcement](seance_10.ipynb)
- Séance n°11 :
1. [Perceptron multicouche fait maison (partie 1)](seance_11a.ipynb)
2. [Quelques mots sur la rétropropagation](seance_11b.ipynb)
3. [Perceptron multicouche fait maison (partie 2)](seance_11c.ipynb)
Voici le lien vers la [partie 1](https://github.com/alainlebret/python-et-ia-1)
## Licence
Ce cours est mis à disposition selon les termes de la licence [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/).
---
### Overview
This repository contains the second part of the Jupyter notebooks for the course **"Python and artificial intelligence"** given in the second year of the [GPSE](https://www.ensicaen.fr/formation/diplomes-dingenieurs/formation-statut-etudiant/genie-physique-et-systemes-embarques/) program at [ENSICAEN](https://www.ensicaen.fr).
### Sessions
#### Part 2
- **Session 7:** [Supervised learning and regression](seance_07.ipynb)
- **Session 8:** [Optimization and gradient descent](seance_08.ipynb)
- **Session 9:** [Supervised learning and classification](seance_09.ipynb)
- **Session 10:** [Reinforcement learning](seance_10.ipynb)
- **Session 11:**
1. [Homemade multilayer perceptron (part 1)](seance_11a.ipynb)
2. [A few words on backpropagation](seance_11b.ipynb)
3. [Homemade multilayer perceptron (part 2)](seance_11c.ipynb)
For part 1 of the course, please visit the following repository: [python-et-ia-1](https://github.com/alainlebret/python-et-ia-1)
### License
This course is provided under the terms of the [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/).
(c) Alain Lebret, 2024.