<ul><li>Neural Style Transfer (NST) is a process that uses CNNs to blend the content and style of two images.</li><li>VGG-19, a 19-layer deep CNN, is commonly used in NST. Its pre-trained model parameters are frozen.</li><li>Activation features of the content and style images are extracted using specific layers of the VGG-19 model.</li><li>Gram matrix, capturing relationships between feature maps, is used to represent style elements like color and texture.</li></ul>

Neural Style Transfer in Python

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