Title :
Hardware implementation of stochastic-based Neural Networks
Author :
Rosselló, Josep L. ; Canals, Vincent ; Morro, Antoni
Abstract :
In this work we review the basic principles of stochastic logic and its application to the hardware implementation of Neural Networks. In this paper we show the mathematical basis of stochastic-based neurons along with the specific circuits that are needed to implement the processing of each neuron. We also propose a new methodology to reproduce the non-linear activation function. The proposed methodology can be used to implement any kind of Neural Network.
Keywords :
logic design; neural nets; probabilistic logic; stochastic processes; hardware implementation; nonlinear activation function; stochastic based neural network; stochastic logic; Artificial neural networks; Clocks; Converters; Hardware; Logic gates; Neurons; Stochastic processes;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596805
