By the way: How does a NN learn from a single image? I understand how a NN can learn to classify images. But how can it learn a style from a single image?
The output is a neural network that can take any content image and outputs it in the style it was trained on.
The browser does this: 1. Downloads the model (6.6MB~) for the particular style. 2. Does one pass through the content image and outputs the styled image.
No training is done in the browser whatsoever.
But I would like to know how the training works. How does a NN learn the style of an image?
It's mostly looking at local regions and seeing what guesses it can make about the next region given one region. (If I understand correctly).
The original Neural Style Transfer paper should help you understand the loss functions involved: https://arxiv.org/abs/1508.06576
The paper introducing Real-Time Style Transfer is basically the algorithm used here: https://arxiv.org/abs/1603.08155