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A novel method of automatic modulation recognition in non-cooperation communication systems, which is based on deep convolutional neural network, is proposed. Firstly, the received signal is preprocessed and generates the constellation diagram. Then, the shape of the constellation diagram is used as the input of the deep convolution neural network, which is trained to classify the modulated signal. The convolution neural network can automatically learn the constellation diagram features of various digital modulation signals, which can simplify the processing procedures and overcome the weaknesses of traditional techniques, such as the difficulty in extracting the features, the absence of universal property, and the poor anti-noise performance. In addition, the deformation of the constellation diagram is insensitive to the final classification performance by using convolution neural network. Three typical digital modulation schemes including 4QAM, 16QAM and 64QAM are used in the simulation test, and the results show that when the SNR is greater than 4, the accuracy of modulation recognition is more than 95%, which confirmed that the proposed method is effective.