4 code implementations • 30 Jun 2018 • Kamel Abdelouahab, François Berry, Maxime Pelcat
Convolutional Neural Networks (CNNs) are computationally intensive algorithms that currently require dedicated hardware to be executed.
Distributed, Parallel, and Cluster Computing Hardware Architecture
no code implementations • 26 May 2018 • Kamel Abdelouahab, Maxime Pelcat, Jocelyn Serot, François Berry
This paper presents a state-of-the-art of CNN inference accelerators over FPGAs.
1 code implementation • 20 Nov 2017 • Kamel Abdelouahab, Maxime Pelcat, Jocelyn Sérot, Cédric Bourrasset, François Berry, Jocelyn Serot
Deep Convolutional Neural Networks (CNNs) are the state-of-the-art in image classification.
no code implementations • 4 May 2017 • Kamel Abdelouahab, Maxime Pelcat, Jocelyn Serot, Cedric Bourrasset, Jean-Charles Quinton, François Berry
Deep Convolutional Neural Networks (CNNs) are the state of the art systems for image classification and scene understating.
Other Computer Science
no code implementations • 21 Mar 2017 • Kamel Abdelouahab, Cedric Bourrasset, Maxime Pelcat, François Berry, Jean-Charles Quinton, Jocelyn Serot
Deep Neural Networks are becoming the de-facto standard models for image understanding, and more generally for computer vision tasks.