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.
Topics
- Generate INT8 Code for Deep Learning Networks
Quantize and generate code for a pretrained convolutional neural network.
Featured Examples
Quantize Residual Network Trained for Image Classification and Generate CUDA Code
Quantize learnable parameters in the convolution layers of a residual network and generate CUDA code.
Quantize Layers in Object Detectors and Generate CUDA Code
Generate CUDA® code for SSD and YOLO v2 vehicle detectors that perform inference computations in 8-bit integers.
