Analysis of the results of the "Transforming autoencoders" architecture mentioned by Hilton, for my dissertation. [r]

Hello everyone, tomorrow I have a meeting with my dissertation supervisor and I wanted to have a dissertation proposal ready.

Initially, I moved forward with the following proposal: "Interpreting the Routing Dynamics of Capsule Networks for Explainable AI."

My first approach to this topic was to study the paper "Transforming autoencoders," which is the first paper about capsule networks. Next, I did a search on the state of the art of transforming autoencoders and only found 2 papers since 2011. I think I should take advantage of the work I have developed so far on transforming autoencoders and write a dissertation about them. If anyone could take a look at the readme and tell me what they think, I would appreciate it.

What do you think? I should suggest another topic involving transforming autoencoders. There isn't much scientific research on them.

The professor is approachable, and if I present a good new topic, he'll let me change it!