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mathworks.com
Deep Network Quantization and Deployment Using Deep Learning Toolbox Model Quantization Library
See how to quantize, calibrate, and validate deep neural networks in MATLAB using a white-box approach to make tradeoffs between performance and accuracy, then deploy the quantized DNN to an embedded GPU and an FPGA hardware board.
2020年11月1日
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Have you used quantization with an open source machine learning library, and wondered how quantization works? How can you preserve model accuracy as you compress from 32 bits to 16, 8, or even 2 bits? In our new short course, Quantization in Depth, taught by Hugging Face's Marc Sun and Younes Belkada, you'll learn to implement variants of linear quantization, such as asymmetric and symmetric modes, from scratch. You'll also quantize at different granularities (per-tensor, per-channel, per-group)
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