Post-doc researcher working on low-power embedded systems and machine learning at @EEESlab
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[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …