Today I made a lot of progress finishing up my presentation. I feel like we developed an interesting story to tell around the data we collected from the experiments, and I am excited to get a chance to share my results. Much of the beginning of the presentation is spent explaining high level concepts such as deep learning and machine learning so I will have a better idea of what I will need to include after my meeting with Joe and Amy on Monday. I will continue to keep practicing my presentation over the weekend and possible include more results from iCaRL and MLP w/ EWC models if I can get them trained. Below I have included a visualization of one of the most important results from my project. Notice how the SLDA w/ Mahalanobis model outperforms the other models in accuracy and OOD recognition combined (the more area a model has in the spider plot, the better it performed overall).
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