机器学习|AI|Stylish|图像处理|Python|平时作业

Following up on our check-in, I have collected some materials to get you started.

1. Style transfer Keras guide (link): This page has complete code to run style transfer. Unfortunately, the coding concepts it uses are quite a bit different than what we have learned about so far. 
2. Attached .py file: I have simplified the code from #1 a bit in the attached .py file. This should be more manageable and a good place to start. The parts you should focus on understanding are the various inputs, hyperparameters, and losses. The details of the implementation are important but secondary.
3. Papers: Have a look at the these two papers to get an understanding for the model being implemented in the code. Focus on understanding the intuition and the role of the various losses.
   1. “A Neural Algorithm of Artistic Style” (Gatys et al): The earlier of the two papers (only uses style and content losses)
   2. “Perceptual Losses for Real-Time Style Transfer
      and Super-Resolution” (Johnson et al): The second paper, also discusses the total variation loss
4. Tutorial (link): A tutorial video on style transfer. The code presented will not work on current tensorflow versions but the presenter gives a good overview of how this style of code works and which parts are most important.