A method and an apparatus for general image classification base on a semi-supervised generative adversarial network are disclosed, relating to the image classification technology. The method includes:1, obtaining a deep convolutional generative adversarial network DCGAN through training, wherein that DCGAN comprises a generation network and a discrimination network, and the discrimination networkcomprises a convolutional neural network and a Softmax multi-classifier connected in turn; 2, inputting the image to be classified into the convolution neural network to obtain image features; 3, inputting the obtained image features into the Softmax multi-classifier to obtain a classification result. As the discriminant network is train in the DCGAN, the generalization performance and the classification accuracy rate of the discriminant network are improved. After image features are obtained through the discriminant network and Softmax multi-classifier is combined, the accuracy rate of imageclassification can be greatly improved.