11 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.ET2017★ 11 cited
Mixed-precision training of deep neural networks using computational memory
Nandakumar S. R., Manuel Le Gallo, Irem Boybat +3
Deep neural networks have revolutionized the field of machine learning by providing unprecedented human-like performance in solving many real-world problems such as image and speec…
stat.ML2017
Stochastic Deep Learning in Memristive Networks
Anakha V Babu, Bipin Rajendran
We study the performance of stochastically trained deep neural networks (DNNs) whose synaptic weights are implemented using emerging memristive devices that exhibit limited dynamic…
stat.ML2017
Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks
Shruti R. Kulkarni, John M. Alexiades, Bipin Rajendran
We describe a novel spiking neural network (SNN) for automated, real-time handwritten digit classification and its implementation on a GP-GPU platform. Information processing withi…