High-Fidelity Conversion of Floating-Point Networks for Low-Precision Inference using Distillation
5 min read
A major challenge for fast, low-power inference on neural network accelerators is the size of the...
A major challenge for fast, low-power inference on neural network accelerators is the size of the...
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