Discriminability-Based Transfer between Neural Networks

Previously, we have introduced the idea of neural network transfer, where learning on a target problem is sped up by using the weights obtained from a network trained for a related source task. Here, we present a new algorithm. Several experiments demonstrate that target networks initialized via DBT learn significantly faster than networks initialized randomly.