Generative Adversarial Neural Networks Applied to Image Generation
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This project studies the theory behind generative models, (mainly Generative Adversary Networks) analyses their complexity and develops a practical implementation of such with limited resources. The book's contents begin with some initial paragraphs detailing the motivation behind the project, followed by an aggregate of all the research performed and ending with the report of all the experiments and observations from the training of some GAN models.
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