Generative adversarial network training method, generative adversarial network and face image translation method and device
A face image and network training technology, applied in biological neural network models, image enhancement, image analysis, etc., can solve problems such as failure, crash, target data defect generation, etc., achieve strong adaptability and improve stability
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[0027] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
[0028] In this application, Generative Adversarial Networks (GAN) is a deep learning model that can be widely used in algorithms such as image generation, image translation, and image conversion.
[0029] Taking image translation as an example, image translation technology is the conversion between images in different forms. At present, the main problem of GAN model ...
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