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FPGA
Ristretto: Caffe-based approximation of convolutional neural networks.
This convert tools is base on TensorRT Int8 calibration tools,which use the KL algorithm to find the suitable threshold to quantize the activions from Float32 to Int8(-128 - 127).
使用Verilog实现的CNN模块,可以方便的在FPGA项目中使用
Deep Compression on AlexNet
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
The official Linux kernel from Xilinx
This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep Compression" by Song Han et. al. This paper received best paper award in ICLR 2016
This is a really simple compression of Caffe Model
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