Network Compression Applications
Generate code for deep learning networks with reduced memory footprint and computational requirements.
Featured Examples
Generate INT8 Code for Deep Learning Network on Raspberry Pi
Generate code for deep learning network that performs inference computations in 8-bit integers.
Generate INT8 Code for Deep Learning Network on Cortex-M Target
Generate code for deep learning network that performs inference computations in 8-bit integers.
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
Reduce the memory footprint and computation requirements of an image classification network for deployment on resource constrained embedded devices such as the Raspberry Pi™.
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