Abstract
This research has used Generative Adversarial Networks (GANs) for face generation in the area of the research [1]. GANs have demonstrated a high effectiveness in imitation of natural images not only, but also in specific applications [2]. For the succeeding paper, their potential especially on creating human faces are being looked into. The primary goal is to develop a new design and practical training strategy to efficiently produce high-quality facial images [3]. Experimental results confirm the ability of the proposed method to generate artificially intelligent faces and its role in improving the quality of the images.
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