A system includes at least one processor, a memory device and a dropout device. The at least one processor is configured to establish a neural network that comprises a first layer and a second layer. The memory device is coupled to the at least one processor and configured to store a plurality of weight values that are associated with the first layer and the second layer in the neural network. The dropout device is configured to deny an assessment to at least one of the plurality of weight values stored in the memory device, in response to a dropout control signal, and the second layer of the neural network being computed regardless of the at least one of the plurality of weight values that is not accessed. A method is also disclosed herein.