no code implementations • 3 Jul 2018 • Griffin Lacey, Graham W. Taylor, Shawki Areibi
Low precision weights, activations, and gradients have been proposed as a way to improve the computational efficiency and memory footprint of deep neural networks.
1 code implementation • 30 Sep 2016 • Roberto DiCecco, Griffin Lacey, Jasmina Vasiljevic, Paul Chow, Graham Taylor, Shawki Areibi
Convolutional Neural Networks (CNNs) have gained significant traction in the field of machine learning, particularly due to their high accuracy in visual recognition.
no code implementations • 13 Feb 2016 • Griffin Lacey, Graham W. Taylor, Shawki Areibi
The rapid growth of data size and accessibility in recent years has instigated a shift of philosophy in algorithm design for artificial intelligence.