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Neural Style Transfer with TensorFlow

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  • Neural Style Transfer
    • Welcome to this project-based course on Neural Style Transfer with TensorFlow. In this project, you will apply a style image's stylistic features to a content image while retaining the overall structure of the content image, and you will do this with the help of a neural network. Neural Style Transfer is a technique to apply stylistic features of a Style image onto a Content image while retaining the Content’s overall structure and complex features. We will see how to create content and style models, compute content and style costs, and ultimately run a training loop to optimize a proposed image which retains content features while imparting stylistic features.