The present disclosure relates to a circuit arrangement of a binarized neural network using
silicon gate diodes. The circuit arrangement of a binarized neural network according to one embodiment of the present disclosure comprises a plurality of
silicon gate diodes in which a
diode structure is arranged as a channel region between an
anode terminal and a
cathode terminal, a gate terminal is arranged on the
diode structure to perform unidirectional switching by means of a potential barrier control in the channel region based on different voltages applied to each of the
anode terminal and the gate terminal, and storage properties are realized as holes or electrons that accumulate in the
potential well due to a
positive feedback loop.Furthermore, in the circuit arrangement of a binarized neural network, the
silicon gate diodes operate as synaptic elements in a memory arrangement connected in parallel, and the results of a multiply-accumulate (MAC) operation are output based on an input
signal applied by an input line processor connected to the memory arrangement and a weight update
signal applied by a
synapse line processor connected to the memory arrangement.