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This repository contains code used for the numerical experiments in the Supervised Learning for Integrated Forecasting and Inventory Control paper by Joost F. van der Haar, Arnoud P. Wellens, Robert N. Boute and Rob J.I. Basten.
Simulation of autonomous driving by deep learning with GPU accelerated computing on Google Cloud. Augmentation and custom loss-functions allow self-driving vehicles to maintain lanes, for single trips around virtual tracks, in speed-controlled environments.
Deep-Learning approach for generating Fair and Accurate Input Representation for crime rate estimation in continuous protected attributes and continuous targets.
Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.