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Introduction Neural Style Transfer is a technique that allows us to take the content of one image and the style of another image and combine them to create a new image. This is achieved by using a pretrained convolutional neural network to extract the content and style representations of the images. The content representation of the base image is then combined with the style representation of the style image to create the output image. This is done by minimizing the content loss and style loss b...