Computation apparatus, computation method, and non-transitory computer-readable storage medium

A computation apparatus, comprising:

• a first processing unit configured to obtain a first feature by executing computation of a neural network with use of a first coefficient that is not to be updated in online learning of the neural network;
• a second processing unit configured to obtain a second feature by executing the computation of the neural network with use of the first feature and a second coefficient that is to be updated in the online learning;
• a third processing unit configured to obtain a third feature by executing the computation of the neural network with use of the second feature and a third coefficient of the neural network;
• and
• an update unit configured to update the second coefficient by executing the online learning based on the second coefficient and the first feature,
• wherein processing of the third processing unit and processing of the update unit are executed in parallel.

A computation method implemented by a computation apparatus, comprising:

• obtaining a first feature by executing computation of a neural network with use of a first coefficient that is not to be updated in online learning of the neural network;
• obtaining a second feature by executing the computation of the neural network with use of the first feature and a second coefficient that is to be updated in the online learning;
• and
• updating the second coefficient by executing the online learning with use of the second coefficient and a second feature that has been obtained in a past,
• wherein the obtainment of the first feature and the updating are executed in parallel.

A computation method implemented by a computation apparatus, comprising:

• obtaining a first feature by executing computation of a neural network with use of a first coefficient that is not to be updated in online learning of the neural network;
• obtaining a second feature by executing the computation of the neural network with use of the first feature and a second coefficient that is to be updated in the online learning;
• obtaining a third feature by executing the computation of the neural network with use of the second feature and a third coefficient of the neural network;
• and
• updating the second coefficient by executing the online learning based on the second coefficient and the first feature,
• wherein the obtainment of the third feature and the updating are executed in parallel.

A non-transitory computer-readable storage medium storing a computer program that causes a computer to function as:

• a first processing unit configured to obtain a first feature by executing computation of a neural network with use of a first coefficient that is not to be updated in online learning of the neural network;
• a second processing unit configured to obtain a second feature by executing the computation of the neural network with use of the first feature and a second coefficient that is to be updated in the online learning;
• and
• an update unit configured to update the second coefficient by executing the online learning with use of the second coefficient and a second feature that has been obtained by the second processing unit in a past,
• wherein processing of the first processing unit and processing of the update unit are executed in parallel.

A non-transitory computer-readable storage medium storing a computer program that causes a computer to function as:

• a first processing unit configured to obtain a first feature by executing computation of a neural network with use of a first coefficient that is not to be updated in online learning of the neural network;
• a second processing unit configured to obtain a second feature by executing the computation of the neural network with use of the first feature and a second coefficient that is to be updated in the online learning;
• a third processing unit configured to obtain a third feature by executing the computation of the neural network with use of the second feature and a third coefficient of the neural network;
• and
• an update unit configured to update the second coefficient by executing the online learning based on the second coefficient and the first feature,
• wherein the obtainment of the third feature and the updating are executed in parallel.