Skip to content

Latest commit

 

History

History
24 lines (13 loc) · 1.08 KB

README.md

File metadata and controls

24 lines (13 loc) · 1.08 KB

exploRNN Teaser

exploRNN: Understanding Recurrent Neural Networks through Visual Exploration

Created by Alex Bäuerle, Raphael Störk and Timo Ropinski.

Accessible online.

What is this?

exploRNN can be used to interactively learn about the concepts and properties of recurrent neural networks (RNNs)

How does this help me?

If you want to learn about RNNs, and know some basic about deep learning already, this is the application for you. It will teach you basics about RNNs, from which you get a good overview of how these networks function, an what they can be used for.

How can I use this?

Just go to our Website!

Acknowlegements

This work was funded by the Carl-Zeiss-Scholarship for Ph.D. students.