https://github.com/glemaitre/ibiom-m2-deep-learning

https://github.com/glemaitre/ibiom-m2-deep-learning

Last synced: 8 days ago
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• Host: GitHub
• URL: https://github.com/glemaitre/ibiom-m2-deep-learning
• Owner: glemaitre
• License: mit
• Created: 2018-12-05T10:01:00.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-12-12T08:02:00.000Z (about 5 years ago)
• Last Synced: 2024-10-28T02:05:58.795Z (about 2 months ago)
• Language: Jupyter Notebook
• Size: 28.2 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# IBIOM-M2: A gentle introduction to deep-learning

### Instructors

* Guillaume Lemaitre - Inria, Paris-Saclay Center for Data Science

### Obtaining the Tutorial Material

If you have a GitHub account, it is probably most convenient if you clone or

fork the GitHub repository. You can clone the repository by running:

```bash

git clone https://github.com/glemaitre/IBIOM-M2-deep-learning

```

If you are not familiar with git or don't have an GitHub account, you can

download the repository as a `.zip` file by heading over to the GitHub

repository (https://github.com/glemaitre/IBIOM-M2-deep-learning) in your

browser and click the green “Download” button in the upper right.

Please note that we may add and improve the material until shortly before the

tutorial session, and we recommend you to update your copy of the materials one

day before the tutorials. If you have an GitHub account and cloned the

repository via GitHub, you can sync your existing local repository with:

```bash

git pull origin master

```

If you don't have a GitHub account, you may have to re-download the `.zip`

archive from GitHub.

### Requirements

To check if your system have the required libraries, you can execute the

following script:

```bash

python check_environment.py

```

If you are using `conda`, you can create a specific environment for this

tutorial with the following commands:

```bash

conda env create -f environment.yml

conda activate ibiom  # or source activate pyparis_sklearn

```

### References

This material is based on the fruitful work of the

[course](https://github.com/m2dsupsdlclass/lectures-labs) of O. Grisel and

C. Ollion, and more broadly to the Pythonista of the whole data science

community.