Art generation by Neural style Transfer learning
New art is generated through neural style transfer learning. An objective function is chosen which minimizes the similarity of a random picture to an art. In this way any random picture is transferred into art style. Since the dataset is very small, it is impossible to train a deep learning model on such a small data, a transfer learning model is used.
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