Deep Learning Style Transfer

Today we cover Tensorflow notebook to understand more deeply the issue of style transfer. the main idea is to take some image which called content image and some painting , and transfer the image according to painting.

The main process done through passing the images throw the network and calculate some error between image generated and painting and so to change the image.

The network gives general futures of the image so in can be described.

I'm base on notebook

Neural style transfer | TensorFlow Core

First part is the extract network

extractor vgg

we use the conv layer for outputs.

The process of change the image

style content loss

The network calculate both outputs of style and content then use gradient descent to adapt the image for the style.

content and style image

converted image