CPC G06N 3/084 (2013.01) [G06F 18/24 (2023.01); G06N 3/044 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01)] | 18 Claims |
1. A method for providing a response from a differential recurrent neural network (RNN) based on elements included in an input vector, the method comprising:
receiving the input vector at a transition component of the differential RNN;
providing, by the transition component, an output to a differential non-linearity component, the output including a positive contribution vector and a negative contribution vector corresponding to elements of states stored at a state component;
generating, by the differential non-linearity component, a state contribution vector based on the positive contribution vector and the negative contribution vector;
receiving, at the state component, the state contribution vector; and
providing as the response, an output based on stored state information received from the state component.
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