Image classification method based on deep learning

Abstract

This paper proposes a convolution neural network（CNN） for image classification, which uses overlap pooling and dropout technology to solve overfitting problem. Compared with traditional CNN，the proposal obtains better results on the CIFAR-10 dataset，where the accuracy on testing data set is about 9 percent higher than that on the training data set.

Keywords

• image classification
• deep learning
• CNN