Neural Style Transfer

Neural Style Transfer is the use of AI (neural networks) to learn the Style from one image and use that knowledge to modify the content image.

I am using the VGG-19 model, which has already been trained on the imagenet dataset. we pass our style image through the model and retrieve the processed image at certain layers

I am using the eager implementation of the keras library.

Dependencies

1. numpy
2. keras
3. tensorflow