Thunfischpirat / SpokenDigits

This is our submission for the final graded project for the WS22/23 course "Neural Networks: Theory and Implementation" at Saarland University.
1 stars 0 forks source link

Create t-SNE embeddings for outputs of linear models. #16

Closed Thunfischpirat closed 1 year ago

Thunfischpirat commented 1 year ago

Currently, the function tsne_model in tsne_model_embeddings.py can only deal with PyTorch models. However, the function plot_tsne still works with the outputs of linear models when predictions are generated via the predict_proba method.

When writing the Jupyter notebook #14 for reproducing our result, keep this in mind and add a code block that deals with generating the t-SNE embeddings for the linear model.