no code implementations • 18 Sep 2020 • Marc Ortiz, Florian Scheidegger, Marc Casas, Cristiano Malossi, Eduard Ayguadé
In this work, we leverage ensemble learning as a tool for the creation of faster, smaller, and more accurate deep learning models.
no code implementations • 14 Apr 2018 • Marc Ortiz, Adrián Cristal, Eduard Ayguadé, Marc Casas
The use of low-precision fixed-point arithmetic along with stochastic rounding has been proposed as a promising alternative to the commonly used 32-bit floating point arithmetic to enhance training neural networks training in terms of performance and energy efficiency.