Patent ID: 11972347
Assignee: TECHNION RESEARCH & DEVELOPMENT FOUNDATION LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. The system of claim 1, wherein the at least one hardware processor is further adapted to:
in each additional training iteration of a plurality of additional training iterations:
for each other layer, comprising a plurality of other weight values, of one or more other layers of the plurality of layers of the neural network:
compute a set of other transformed values by applying to a plurality of other layer values, comprising a plurality of other previous output values of another previous layer and the other layer's plurality of other weight values, the one or more emulated non-uniformly quantized transformations by adding to each other value of the plurality of other layer values the one or more uniformly distributed random noise values; and
compute a plurality of other output values by applying to the set of other transformed values the one or more arithmetic operations;
compute a plurality of other training output values from a combination of the plurality of other output values of a last layer of the plurality of other layers; and
update one or more of the plurality of other weight values of the one or more other layers to decrease another value of the loss function computed using the plurality of target value sets and plurality of other training output values.