Retrain or not retrain? -- efficient pruning methods of deep CNN networks

Understand

Convolutional neural networks (CNN) play a major role in image processing tasks like image classification, object detection, semantic segmentation.

• Very often CNN networks have from several to hundred stacked layers with several megabytes of weights.
• One of the possible methods to reduce complexity and memory footprint is pruning.
• Pruning is a process of removing weights which connect neurons from two adjacent layers in the network.