AI Synergies


Michelle Peters


Visualising the Training Process of Convolutional Neural Networks for Non-Experts

As convolutional neural networks impact all of society, we created a visualization tool that helps non-experts understand how they learn. Our open-source tool uses dimensionality reduction (UMAP) to create a 2D visualisation of the CNN's activity. We enrich the plot with information such as the input images, predicted classes and prediction accuracy. By plotting this every epoch, we create a video which intuitively shows the network’s behaviour changing over time.  


Michelle has finished the bachelor program of Industrial Design at the University of Twente and is now pursuing a master’s degree in Data Science. She enjoys finding structured ways to solve puzzles and other challenges. In her free time, she likes to dance, sing and bake delicious vegan cakes.


Syrah room
Day 3 - Nov 8th

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

More info about our events