Reading Assignment: Capsule Networks

For the final reading assignment of this course, we will look into a very recent developmemt in deep learning - Capsule Nets - which have shown some promising first results on small problems like MNIST.

• Introductory article with interactive examples by Nick Bourdakos on Medium

• Alternatively, there is also a 4-part article series on Medium.

• Another short blog post on O’Reilly and a related youtube video on Capsule Networks by Aurélien Géron

Addiotional task: Please prepare “exam questions” covering the whole course that you would like to ask me!

Further Resources (Optional)

• Watch Geoffrey Hinton himself talk about “What is wrong with convolutional neural nets?” at MIT.

• There is another youtube video on how to implement a Capsule Network for MNIST in Tensorflow.

• Have a look at the original publications “Transforming Auto-Encoders” (2011) and “Dynamic Routing Between Capsules” (2017).