APPARATUS AND METHOD USING NEURAL NETWORK

An apparatus includes a first holding unit and a second holding unit configured to hold first-type data and second-type data, respectively, a first operation unit configured to execute a first product-sum operation based on the first-type data, a branch unit configured to output an operation result of the first product-sum operation in parallel, a sampling unit configured to sample the operation result and to output a sampling result, and a second operation unit configured to execute a second product-sum operation based on the second-type data and the sampling result.