no code implementations • 12 Sep 2018 • Michaela Blott, Thomas Preusser, Nicholas Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu
Given a neural network description, the tool optimizes for given platforms, design targets and a specific precision.
Hardware Architecture
1 code implementation • CVPR 2018 • Julian Faraone, Nicholas Fraser, Michaela Blott, Philip H. W. Leong
An efficient way to reduce this complexity is to quantize the weight parameters and/or activations during training by approximating their distributions with a limited entry codebook.
no code implementations • 21 Jun 2018 • Thomas B. Preußer, Giulio Gambardella, Nicholas Fraser, Michaela Blott
Neural networks have established as a generic and powerful means to approach challenging problems such as image classification, object detection or decision making.
no code implementations • 21 May 2018 • Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto, Elliott Delaye, Oscar Fernandez, Nicholas Fraser, Aaron Ng, Ashish Sirasao, Michael Wu
Deep learning as a means to inferencing has proliferated thanks to its versatility and ability to approach or exceed human-level accuracy.
no code implementations • 19 Sep 2017 • Julian Faraone, Nicholas Fraser, Giulio Gambardella, Michaela Blott, Philip H. W. Leong
A low precision deep neural network training technique for producing sparse, ternary neural networks is presented.