Fast Style Transfer Implementation
After finishing up the Deep Learning course from Coursera, I wanted to explore more work that was done in the area of style transfer (Gatys et al), which was an assignment for us in that course. I firstly wanted to implement the style transfer algorithm outside the confines of the assignment. This was a useful exercise and I learnt some new things like using the vgg network and some associated helper functions. I also learnt how important tuning is and that it is an iterative process. While the method is cool, it was too slow compared to be deployed as a program/app. There had to be a faster way of getting stylized images. Turns out that a faster, better method based on training a feedforward network existed so I was interested in seeing how it works. I came across the work of Logan Engstrom here: https://github.com/lengstrom/fast-style-transfer I looked over the code and implemented it a version of it in Jupyter notebooks. One notebook contains the code for tra...