Neural style transfer between images

In the previous recipe, the modified pixel values were trying to maximize the filter activations. However, it does not give us the flexibility of specifying the style of the image; neural style transfer comes in handy in this scenario.

In neural style transfer, we have a content image and a style image, and we try to combine these two images in such a way that the content in the content image is preserved while maintaining the style of the style image.

Getting ready

The intuition of neural style transfer is as follows.

We try to modify the original image in a similar way to the DeepDream algorithm. However, the additional step is that the loss value is split into content loss and style...