An Intuitive Understanding to Neural Style Transfer

This concludes our high level explanation of neural style transfer. We use a trained convolutional neural network (CNN) model such as VGG19 to acquire the content and style loss functions. Recall that content are high level features that describe objects and their arrangement in the image. An image classification model needs to be well-trained on content in order to accurately label an image as "dog" or "car". A convolutional neural network (CNN) is designed to filter out the high level features of an image.