Intel Corporation

Leonard Truong

Feng Chen

Xiaoming Chen

Rajkishore Barik

Mike B Macpherson

Brian T Lewis

Murali Sundaresan

A mechanism is described for facilitating efficient training of neural networks at computing devices. A method of embodiments, as described herein, includes detecting one or more inputs for training of a neural network, and introducing randomness in floating point (FP) numbers to prevent overtraining of the neural network, where introducing randomness includes replacing less-significant low-order bits of operand and result values with new low-order bits during the training of the neural network.

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Santa Clara, CA, United States of America

Leonard Truong