Tomas Haugland Spangelo's Projects
Implementation of vanilla, dense feed-forward network and convolutional neural network in the course IT3030 Deep Learning at NTNU.
Implementation of optimization model for autonomous vehicles using mosel (Express) and some small scripts in Python to generate data.
An implementation from the state-of-the-art family of reinforcement learning algorithms Proximal Policy Optimization using normalized Generalized Advantage Estimation and optional batch mode training. The loss function incorporates an entropy bonus.
Page for rating courses at NTNU.
Jupyter notebook files for a machine learning project in the course COGS 118A Supervised Machine Learning Algorithms. In short the object of this project was to empirically test different machine learning algorithms using a variety of data sets from the UCI Machine Learning Repository.