Samsung Electronics Co., Ltd.

Jun Fang

Joseph H Hassoun

Ali Shafiee Ardestani

Georgios Georgiadis

Hamzah Ahmed Ali Abdelaziz

Hui Chen

David Philip Lloyd Thorsley

In some embodiments, a method of quantizing an artificial neural network includes dividing a quantization range for a tensor of the artificial neural network into a first region and a second region, and quantizing values of the tensor in the first region separately from values of the tensor in the second region. In some embodiments, linear or nonlinear quantization are applied to values of the tensor in the first region and the second region. In some embodiments, the method includes locating a breakpoint between the first region and the second region by substantially minimizing an expected quantization error over at least a portion of the quantization range. In some embodiments, the expected quantization error is minimized by solving analytically and/or searching numerically.

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Santa Clara, CA, United States of America

Jun Fang