no code implementations • 11 Nov 2020 • Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees Vissers
Our experiments show that by injecting faults in the convolutional layers during training, highly accurate convolutional neural networks (CNNs) can be trained which exhibits much better error tolerance compared to the original.
no code implementations • 16 Dec 2019 • Giulio Gambardella, Johannes Kappauf, Michaela Blott, Christoph Doehring, Martin Kumm, Peter Zipf, Kees Vissers
In particular, Convolutional Neural Networks (CNNs), are gaining popularity and are evaluated for deployment in safety critical applications such as self driving vehicles.
1 code implementation • 21 Nov 2018 • Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees Vissers, John Wawrzynek, Kurt Keutzer
DiracDeltaNet achieves competitive accuracy on ImageNet (88. 7\% top-5), but with 42$\times$ fewer parameters and 48$\times$ fewer OPs than VGG16.
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 • 11 Jul 2018 • Vladimir Rybalkin, Alessandro Pappalardo, Muhammad Mohsin Ghaffar, Giulio Gambardella, Norbert Wehn, Michaela Blott
In this paper, we present the first systematic exploration of this design space as a function of precision for Bidirectional Long Short-Term Memory (BiLSTM) neural network.
Optical Character Recognition Optical Character Recognition (OCR) +1
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 • 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.
no code implementations • 12 Jan 2017 • Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Leong, Magnus Jahre, Kees Vissers
Binarized neural networks (BNNs) are gaining interest in the deep learning community due to their significantly lower computational and memory cost.
4 code implementations • 1 Dec 2016 • Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Leong, Magnus Jahre, Kees Vissers
Research has shown that convolutional neural networks contain significant redundancy, and high classification accuracy can be obtained even when weights and activations are reduced from floating point to binary values.