JJ Szymanski [email protected]

ML course in Uni Koeln

Google Colab notebooks

1. Gradient descent:

https://drive.google.com/file/d/1f7UXTnG2xTZf71mfrHYi1lTWtQxt_QFR/view?usp=sharing

2. Weight activation

https://drive.google.com/file/d/15Cs1I-XGcj944paY5AjwwxZ514YF1vIm/view?usp=sharing

3. Regularization

https://drive.google.com/file/d/1eXFY3010fUZKcciU6vZ-K3DuUfiXYQ17/view?usp=sharing

4. MNIST exercise

https://drive.google.com/file/d/1dKEYLTCFaBFjRhereOVmpsuJ3eG2QFZv/view?usp=sharing

5. Arabidopsis DNA classification - getting and labelling the data

https://drive.google.com/file/d/1WMCJbdt2ojr55WhBmbaLhgWOIyCUBkNo/view?usp=sharing

6. Arabidopsis DNA classification - model training

https://drive.google.com/file/d/1dyjYKPlqSyJGjf2JdBbX4KOBusDxPoD1/view?usp=sharing

7. Tomato leaf disease exercise

CNN https://drive.google.com/file/d/15Yz9yO_zkiR4KLKmA15Wbr-7VY5Ij6l2/view?usp=sharing

ResNet https://drive.google.com/file/d/1soOPBDY4bvKtY2lPhpTiWruodkzMBUqY/view?usp=sharing