This repository contains the code and documentation progress for my master thesis in the faculty for Psychological Methods with Interdisciplinary Focus. Goal of the Master Thesis was to train a Convolutional Neural Network with Saliency Maps created by following the approach of Simonyane et al., 2013 and classify three emotion variables Valence, Arousal and Dominance, see PAD-Theory
The open-lab-notebook holds information about the process of generating the research question.
The data folder holds the Dataset Exploration notebook. The code on how to load and process the data is stored in there. The Deep_Classification notebook is also hosted on google colab
Please note that this project was conducted by a single person with only a bit of training in deep learning. My intrinsic goal was to improve my skillset and knowledge in deep learning.