When Conventional machine learning meets neuromorphic engineering: Deep Temporal Networks (DTNets) a machine learning frawmework allowing to operate on Events and Frames and implantable on Tensor Flow Like Hardware

no code implementations • 19 Nov 2018 • Marco Macanovic, Fabian Chersi, Felix Rutard, Sio-Hoi Ieng, Ryad Benosman

We introduce in this paper the principle of Deep Temporal Networks that allow to add time to convolutional networks by allowing deep integration principles not only using spatial information but also increasingly large temporal window.

BIG-bench Machine Learning