1 code implementation • 19 Aug 2020 • Tian Jin, Gheorghe-Teodor Bercea, Tung D. Le, Tong Chen, Gong Su, Haruki Imai, Yasushi Negishi, Anh Leu, Kevin O'Brien, Kiyokuni Kawachiya, Alexandre E. Eichenberger
Deep neural network models are becoming increasingly popular and have been used in various tasks such as computer vision, speech recognition, and natural language processing.
no code implementations • 19 Dec 2018 • Haruki Imai, Samuel Matzek, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya
A popular approach to tackling this problem is patch-based method, which divides a large image into small patches and trains the models with these small patches.
no code implementations • 5 Jul 2018 • Tung D. Le, Haruki Imai, Yasushi Negishi, Kiyokuni Kawachiya
We propose an approach to tackle this problem by rewriting the computational graph of a neural network, in which swap-out and swap-in operations are inserted to temporarily store intermediate results on CPU memory.