  Sharkzor is a web application for machine-learning assisted image sort and
summary. Deep learning algorithms are leveraged to infer, augment, and automate
the user's mental model. Initially, images uploaded by the user are spread out
on a canvas. The user then interacts with the images to impute their mental
model into the application's algorithmic underpinnings. Methods of interaction
within Sharkzor's user interface and user experience support three primary user
tasks; triage, organize and automate. The user triages the large pile of
overlapping images by moving images of interest into proximity. The user then
organizes said images into meaningful groups. After interacting with the images
and groups, deep learning helps to automate the user's interactions. The loop
of interaction, automation, and response by the user allows the system to
quickly make sense of large amounts of data.
