Neural Network Architecture With Concurrent Uncertainty Output
Inventors: Vikas Singh, Seong Jae Hwang, Ronak Mehta
A neural net processor provides twin processing paths trainable using different moments of the input data, one moment providing a proxy for uncertainty. Subsequent operation of the trained neural net allows monitoring of the uncertainty proxy to provide real-time assessment of neural net model-based uncertainty.
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