A new dynamic strategy of Recurrent Neural Network
Guanzhong Li · 2009
Recurrent neural networks are widely used in many applications that need to store and update context information. The number of recurrent cycle is very important to many tasks in terms of accuracy and computation time. In this paper, a dynamic strategy is extended to recurrent internal symmetry neural network, and back propagation is trained for image segmentation tasks.