From time to time I write slides on some subject, to present something I’ve studied or for teaching. Last slides have been to introduce Tensorflow in a graduate course, in form of Python notebooks and Html. They cover
- basic usage examples
- typical layers
- variables and how to save and restore a model
- feeding placeholders and using queues to speed it up
- selecting one GPU if you have more
- more interestingly, walkthroughs on code implementing fine tuning a VGG, VAE, GAN and style transfer
Finally, I spent some time reading the Rasmussen and Williams book on Gaussian processes plus some papers using them, and compiled what I learned in these slides.