Deep Neural Networks

We formalise the widespread idea of interpreting neural network decisions as an explicit optimisation problem in a rate-distortion …

We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results. …

Practical Session: Introduction to Tensorflow and hands-on tutorial on approximating smooth functions with neural networks (joint with Raffael Raisenhofer).