An implementation of a denoising autoencoder model using PyTorch and the Fashion MNIST dataset. The demo covers reading in data in batches, noise function, AE model archetecture, training/testing, and viewing the data embedding in 3 dimensions with Plotly.
Download the ipynb for local viewing or on Google Colab