Floating gate for neural network inference
Abstract:
A computer-implemented method, the method comprising: in an initial setup of weights for a floating gate including rows, columns, and a separate input line: comparing a current weight to a desired weight; performing a feedback to the input line to set a voltage to change the floating gate field effect transistor (FET) threshold voltage (VT) and the current weight; and checking that the current weight is within a predetermined tolerance of the desired weight; and performing a stochastic pulse update on the floating gate based on the checking.
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