Figure 1.

The iteration pruning and fine-tuning framework of differential evolutionary neural network compression. For input dense neural network, we analyze the layer’s pruning sensitivity by differential evolutionary and then pruning this network. Next, we fine-tune the previously pruned networks with the strategy of properly recovering pruned connections.The recovered connections is shown as red dotted line. Iterating through above operations until the stop criteria is satisfied.