724c812a56 | ||
---|---|---|
luxor | ||
.gitignore | ||
CODE_OF_CONDUCT.md | ||
LICENSE | ||
README.md | ||
SECURITY.md | ||
download-data.py | ||
requirements-cpu.txt | ||
requirements-gpu.txt | ||
spring2020mlads.pptx |
README.md
"Solving problems with Deep Learning: an in-depth example using PyTorch and its ecosystem" tutorial/lab
This beginner-level lab was originally presented as a live 3-hour session at Microsoft-internal "Machine Learning, AI, and Data Science" conference (MLADS) in November 2019.
For MLADS Spring 2020, the lab was updated and converted into a self-paced format. You don't have to be a Microsoft employee to do the lab, it's available to everyone.
To start, download the spring2020mlads.pptx presentation (PowerPoint, but works OK with LibreOffice) and follow the slides.
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.