Project & assignments for Machine Learning for Applications in Computer Vision (IN 2106) at TU Munich SS15
- Classify MNIST datasets using optimized SVMs, decision trees, random forests, and boosting methods.
- Classify ImageNet datasets using neural networks through the Caffe framework.
- Classify statistically random datasets using Gaussian processes.