Neural Style Transfer with VGG19
The project illustrates Neural Style Transfer, a technique of combining the content properties of a content image and the style properties of a style image, to produce a hybrid image. It uses VGG19 model, pretrained on the ImageNet dataset, to extract different features of an image.
View some other styled images of Geoffrey Hinton, Yann Lecun and Yoshua Bengio in the Generated directory.
Run the jupyter notebook Neural Style Transfer.ipynb to view code/implementation.