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Artificial intelligence algorithms that can provide bionic skins with efficient signal processing functions further accelerate the development of this trend. Inspired by the somatosensory processing hierarchy of humans, the bioinspired co\u2010design of a tactile sensor and a deep learning\u2010based algorithm is proposed herein, simplifying the sensor structure while providing computation\u2010enhanced tactile sensing performance. The soft piezoresistive sensor, based on the carbon black\u2010coated polyurethane sponge, offers a continuous sensing area. By utilizing a customized deep neural network (DNN), it can detect external tactile stimulus spatially continuously. Besides, a novel data augmentation method is developed based on the sensor's hexagonal structure that has a sixfold rotation symmetry. It can significantly enhance the generalization ability of the DNN model by enriching the collected training data with generated pseudo\u2010data. 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