Description
Speaker: Marysia Winkels
Track:PyData In this talk, we will explore how the weight-sharing property of the convolutional layer can be generalised to achieve equivariance towards transformations beyond just translation, how to implement this, and the results on real-world data.
Recorded at the PyConDE & PyData Berlin 2019 conference. https://pycon.de
More details at the conference page: https://de.pycon.org/program/RAS8UK Twitter: https://twitter.com/pydataberlin Twitter: https://twitter.com/pyconde