Some experiments on neural networks and deep learning

In this repository, some techniques for improving neural networks and deep learning are described, implemented and tried out.

Content

MNIST Experiments:

• Use MC dropout for improving classification (mc_dropout.ipynb)

Regression uncertainty:

• Train simple model on Boston Housing Price dataset and estimate uncertainties of predictions (UncertaintyEstimationRegression.ipynb)