Deviant Learning Algorithm: Learning Sparse Mismatch Representations through Time and Space

no code implementations • 6 Sep 2016 • Emmanuel Ndidi Osegi, Vincent Ike Anireh

Predictive coding (PDC) has recently attracted attention in the neuroscience and computing community as a candidate unifying paradigm for neuronal studies and artificial neural network implementations particularly targeted at unsupervised learning systems.

A Modified Activation Function with Improved Run-Times For Neural Networks

no code implementations • 6 Jul 2016 • Vincent Ike Anireh, Emmanuel Ndidi Osegi

In this paper we present a modified version of the Hyperbolic Tangent Activation Function as a learning unit generator for neural networks.