A propos
This repository contains all the documents and links of the Fidle Training.
The objectives of this training, co-organized by the Formation Permanente CNRS and the SARI and DEVLOG networks, are :
- Understanding the bases of deep learning neural networks (Deep Learning)
- Develop a first experience through simple and representative examples
- Understand the different types of networks, their architectures and their use cases.
- Understanding Tensorflow/Keras and Jupyter lab technologies on the GPU
- Apprehend the academic computing environments Tier-2 (meso) and/or Tier-1 (national)
Available at this depot:
You will find here :
- the support of the presentations
- all the practical work, in the form of Jupyter notebooks
- sheets and practical information :
Installation
To run this examples, you need an environment with the following packages :
- Python >3.5
- numpy
- Tensorflow 2.0
- scikit-image
- scikit-learn
- Matplotlib
- seaborn
- pyplot
You can install such a predefined environment :
conda env create -f environment.ymlTo manage conda environment see there
Licence
[en] Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0)
[Fr] Attribution - Pas d’Utilisation Commerciale - Partage dans les Mêmes Conditions 4.0 International
See License.
See Disclaimer.