Abstract: A method for image shape transformation based on a generative adversarial network includes the following steps: generating a segmentation mask of an image to be transformed; constructing a generator and a discriminator, and constructing the generative adversarial network through the generator and the discriminator; constructing a loss function, and training the generative adversarial network by a gradient descent method according to the loss function; and inputting the segmentation mask of the image to be transformed into the trained generative adversarial network to obtain an image shape transformation result.

Abstract: A key generation method based on a deep learning generative adversarial network includes: preparing a training set image; construction of a key generation network: constructing the key generation network according to a generator network and a discriminator network, and inputting the training set image to the key generation network; and training of the key generation network: training the key generation network by a deep learning method to generate a key.

Abstract: The present invention discloses a method, device and system for determining a mail class. The method for determining a mail class includes: reading a mail head of a mail with an unknown class; extracting a first field in compliance with a first preset condition from the mail head; vectorizing combinations of the first field and its presentation forms into a first preset number of first feature vectors; taking the first feature vectors as input to a preset predictive algorithm for calculation with use of data stored for a pre-established behavior model to derive a calculation result; and determining the mail class of the mail with an unknown class from the calculation result.