Search Results for author: Donghyeon Han

Found 2 papers, 0 papers with code

Extension of Direct Feedback Alignment to Convolutional and Recurrent Neural Network for Bio-plausible Deep Learning

no code implementations23 Jun 2020 Donghyeon Han, Gwangtae Park, Junha Ryu, Hoi-jun Yoo

Even though the DFA algorithm is biologically plausible and has a potential of high-speed training, it has not been considered as the substitute for back-propagation (BP) due to the low accuracy in the CNN and RNN training.

Efficient Convolutional Neural Network Training with Direct Feedback Alignment

no code implementations ICLR 2019 Donghyeon Han, Hoi-jun Yoo

One of them was direct feedback alignment (DFA), but it showed low training performance especially for the convolutional neural network (CNN).

Computational Efficiency Object Tracking

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