Growing Neural Networks: Dynamic Evolution through Gradient Descent

Anil Radhakrishnan, John F. Lindner, Scott T. Miller +2

In contrast to conventional artificial neural networks, which are structurally static, we present two approaches for evolving small networks into larger ones during training. The f…