The following notebooks dives into the MNIST data set.
This work involves using dimensionality reduction on the MNIST dataset.
It extends to using Semi-Supervised Learning, and obtains a 98% accuracy
score on just labelling 50 instances - a jump of 10% in accuracy from
the previous unlabelled instances.
The notebook does not extend to Active Learning but I will be adding that in
down the road.