Deep Learning Course

Ressources for Deep Learning Course (VSE).

GitHub Repository:

https://github.com/MICS-Lab/DeepLearningCourse2024

Grade breakdown:

• Kaggle challenges (based of performance only); All deadlines are on the 19th of March 2024, 5pm

  • Fitting 1D-1D: https://www.kaggle.com/competitions/2024-fitting-a-1d-function-with-deep-learning OR Fitting 3D-3D: https://www.kaggle.com/competitions/2024-fitting-a-3d-3d-function-with-deep-learning

  • Binary Classification: https://www.kaggle.com/competitions/2024-binary-classification-glasses-no-glasses OR MICS MNIST: https://www.kaggle.com/competitions/2024-decimal-classification-mics-mnist

  • Upscale: https://www.kaggle.com/competitions/2024-upscale OR Cartoon to Image: https://www.kaggle.com/competitions/2024-cartoon-to-image

  • Video (sword classification): https://www.kaggle.com/t/0a9ec2ba020e45f5a3c74e52f6f21bda (We will go through a short tutorial about how to handle video files during the last session if you wish)

  • Text (classify sample text to theme): https://www.kaggle.com/t/df03bc431c964f438504e61971b24b93

• Presentation

  • Oral presentations on the 26th of March 2024 (1:30 pm).
  • Simplest presentations that are thoroughly understood are preferred to complicated ones that only scratched the surface.
  • Slides must be in English. Presentation does not need to.

Drive folder with datasets:

https://drive.google.com/drive/folders/14QmpxUPmpeRtUxnDiCIaNLlsx9KIv8AK?usp=sharing