We have developed a digital coprocessor with a dynamically reconfigurable pipeline architecture specified for a layered neural network which executes on-chip learning. The coprocessor attains a learning speed of 18 MCUPS that is approximately twenty times that of the conventional DSP. This coprocessor obtains expansibility in the calculation through a larger multi-layer, network by means of a network decomposition and a distributed processing approach.