Regarding prioritization, each day I try to ask myself: what is the highest leverage activity I can complete today? With the flurry of new material and so many possibilities I’m finding it difficult to answer this question.
I want to get up to speed as fast as possible, but I also imagine there is a logical order in which to tackle this material? I’ve also been thinking a lot about how to balance different types of activities: side projects, Kaggle, theory, blog posts, papers, networking. How should we apportion our time?
Example activities:
- Learning pytorch or Keras
- Reimplementing all of Jeremy’s notebooks
- Revisiting Kaggle competitions from part I
- Studying CNN, GAN, RNN theory
- Deep diving into neural style
I don’t mean any of this as a critique. Just some musings. This course continues to amaze me and by providing so much material it does allow each student to focus on areas of personal interest.