Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)

23 April 2019

Papers citing "Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)"

8 / 8 papers shown

Title
Noise Analysis of Photonic Modulator Neurons T. F. D. Lima A. Tait H. Saeidi M. Nahmias Hsuan-Tung Peng S. Abbaslou B. Shastri Paul R. Prucnal 35 39 0 17 Jul 2019
Training Deep Neural Networks with 8-bit Floating Point Numbers Naigang Wang Jungwook Choi D. Brand Chia-Yu Chen K. Gopalakrishnan MQ 53 500 0 19 Dec 2018
PCNNA: A Photonic Convolutional Neural Network Accelerator A. Mehrabian Yousra Alkabani V. Sorger T. El-Ghazawi 40 66 0 23 Jul 2018
Training of photonic neural networks through in situ backpropagation Tyler W. Hughes M. Minkov Yu Shi S. Fan 32 360 0 25 May 2018
Adversarial Noise Layer: Regularize Neural Network By Adding Noise Zhonghui You Jinmian Ye Kunming Li Zenglin Xu Ping Wang 46 76 0 21 May 2018
An Introduction to Convolutional Neural Networks K. O’Shea Ryan Nash FaML HAI 56 3,111 0 26 Nov 2015
cuDNN: Efficient Primitives for Deep Learning Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan M. Cohen J. Tran Bryan Catanzaro Evan Shelhamer 106 1,844 0 03 Oct 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 128 1,458 0 15 May 2014