Use Deep Learning and Public Hubble/WFC3 data to identify 'anomalies' in Space observations (for HST and JWST)

The most updated version of our deep learning, Hubble/WFC3 Image Anomaly Detector can be found as a Colab Notebook.

This notebook downloads the Hubble Ultra Deep Field, and trains a convolutional autoencoder with it; then reconstructs subsections of the HUDF and compares them side-by-side with the original subframe for quality control.

Next we will inject anomalies into the images and determine the auto encoders sensitivity to these anomalies.