Patent ID: 11947668
Assignee: SOPHOS LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A method, comprising:
receiving a set of values at a normalization layer of a neural network implemented in a processor of a compute device, the normalization layer including a set of normalization nodes and a set of parameter nodes different than the set of normalization nodes, the set of parameter nodes configured to provide a set of parameters used during normalization, to an activation layer, as an additional input;
calculating, at the processor, the set of parameters associated with the set of values;
normalizing, at the processor, the set of values based on the set of parameters to define a set of normalized values; and
providing the set of normalized values to the activation layer of the neural network via the set of normalization nodes, each normalization node from the set of normalization nodes configured to provide a normalized value from a set of normalized values, and
providing the set of parameters to the activation layer of the neural network via the set of parameter nodes, each parameter node configured to provide a parameter from the set of parameters such that the activation layer identifies a set of results based on the set of normalized values and the set of parameters.