Style Transfer

Josh implemented neural style transfer in Python for large scale outputs. Neural style transfer uses a trained image classifier to extract style and content representations of images. These representations can be combined from various images to transfer the style of one image to another.

Josh enjoyed the results but had limited compute, so he couldn't produce high resolution results. To solve the issue, Josh implemented a style transfer algorithm using an image pyramid to reach higher resolutions.