Network Compression Applications
R2026bCompress a deep neural network by performing quantization, learnables
compression, or pruning
Generate code for deep learning networks with reduced memory footprint and computational requirements.
Featured Examples
Prune Filters in a Detection Network Using Taylor Scores
Reduce network size and increase inference speed by pruning convolutional filters in a you only look once (YOLO) v3 object detection network.
Code Generation for Sequence-to-Sequence Classification with Learnables Compression
Generate code for LSTM network with learnables compression.
Compress Image Classification Network for Deployment to Resource-Constrained Embedded Devices
Compress the image classification network for deployment on a Raspberry Pi hardware.
