no code implementations • 12 Nov 2021 • Matthew J. Filipovich, Zhimu Guo, Mohammed Al-Qadasi, Bicky A. Marquez, Hugh D. Morison, Volker J. Sorger, Paul R. Prucnal, Sudip Shekhar, Bhavin J. Shastri
There has been growing interest in using photonic processors for performing neural network inference operations; however, these networks are currently trained using standard digital electronics.
no code implementations • 6 Jul 2019 • Bicky A. Marquez, Jose Suarez-Vargas, Bhavin J. Shastri
We describe a new technique which minimizes the amount of neurons in the hidden layer of a random recurrent neural network (rRNN) for time series prediction.
1 code implementation • 23 Apr 2019 • Viraj Bangari, Bicky A. Marquez, Heidi B. Miller, Alexander N. Tait, Mitchell A. Nahmias, Thomas Ferreira de Lima, Hsuan-Tung Peng, Paul R. Prucnal, Bhavin J. Shastri
Convolutional Neural Networks (CNNs) are powerful and highly ubiquitous tools for extracting features from large datasets for applications such as computer vision and natural language processing.