no code implementations • 16 Mar 2015 • Mark D. McDonnell, Tony Vladusich
We present a neural network architecture and training method designed to enable very rapid training and low implementation complexity.
Ranked #24 on Image Classification on MNIST
no code implementations • 29 Dec 2014 • Mark D. McDonnell, Migel D. Tissera, Tony Vladusich, André van Schaik, Jonathan Tapson
Our close to state-of-the-art results for MNIST and NORB suggest that the ease of use and accuracy of the ELM algorithm for designing a single-hidden-layer neural network classifier should cause it to be given greater consideration either as a standalone method for simpler problems, or as the final classification stage in deep neural networks applied to more difficult problems.