Gender Recognition from Facial Images using Hybrid Classical-Quantum Neural Network

Gender recognition is an important function in numerous software applications that analyze facial images. This paper presents a quantum machine learning based solution towards automatic classification of gender from facial images using the hybrid classical-quantum neural network. Here we obtain a binary classifier using the knowledge of a pre-trained off-the-shelf deep neural network (DNN) combined with the transfer learning of a quantum variational circuit. The binary classifier is a hybrid network consisting of convolutional base of the DNN truncated with a dressed quantum circuit. We obtain performance better than previously reported in classifying publicly available dataset of facial images.