%0 Journal Article %1 journals/corr/abs-1811-07672 %A Macanovic, Marco %A Chersi, Fabian %A Rutard, Félix %A Ieng, Sio-Hoi %A Benosman, Ryad %D 2018 %J CoRR %K dblp %T 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. %U http://dblp.uni-trier.de/db/journals/corr/corr1811.html#abs-1811-07672 %V abs/1811.07672

@article{journals/corr/abs-1811-07672, added-at = {2020-10-19T00:00:00.000+0200}, author = {Macanovic, Marco and Chersi, Fabian and Rutard, Félix and Ieng, Sio-Hoi and Benosman, Ryad}, biburl = {https://www.bibsonomy.org/bibtex/253b52bd6d749592787c71756cd177bc2/dblp}, ee = {http://arxiv.org/abs/1811.07672}, interhash = {c24c082a47017c8323e855ee97d7b567}, intrahash = {53b52bd6d749592787c71756cd177bc2}, journal = {CoRR}, keywords = {dblp}, timestamp = {2020-10-21T11:37:47.000+0200}, title = {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.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr1811.html#abs-1811-07672}, volume = {abs/1811.07672}, year = 2018 }