Patent ID: 11880763
Assignee: INTEL CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
training a machine learning model using repeatable hardware blocks, respective repeatable hardware blocks including:
one or more trainable cores coupled to a frozen core, the one or more trainable cores including multipliers for trainable weights of the machine learning model; and
alpha blending layer circuitry to selectively transfer first features associated with fixed weights of the frozen core, the transferred first features associated with the trainable weights of the one or more trainable cores;

selecting an operation of the machine learning model;
freezing, by executing a machine readable instruction with at least one processor, a parameter of the operation, the parameter is frozen according to a portion of parameters to be fixed in each layer of the machine learning model, respective layers of the machine learning model including frozen parameters and trainable parameters, the trainable parameters including the trainable weights; and
re-training, by executing a machine readable instruction with the at least one processor, the machine learning model without modifying the parameter of the operation.