Deep Learning Part 2 is the second fast.ai course, building on Practical Deep Learning and focusing on more advanced topics such as diffusion models. The commenter describes it as covering diffusion models, with a full course planned after a preview.

Commenters point to it as the follow-on to fast.ai's practical introduction for those who already know the basics and want to go further into diffusion models.

On Reddit (2)

1. RecommendsNohr_12r/learnmachinelearning2023in “I’m a high schooler, what is the best way to quickly learn the fundamentals of machine learning?”

   Look my dear, there's a few things you should do to properly start your ML/DL career, some of things I'll tell you are a bit unorthodox, but they helped me massively. First, you don't need a strong mathematical background to start your journey in AI, you will need math, that's not to be disputed…

2. Recommendssaintshingr/learnmachinelearning2022in “Andrew Ng - a good place to start?”

   You can replace that udemy course with these: https://www.pythoncheatsheet.org/ https://www.gormanalysis.com/blog/python-numpy-for-your-grandma/ https://www.gormanalysis.com/blog/python-pandas-for-your-grandpa/ https://www.gormanalysis.com/blog/neural-networks-for-your-dog/ If you want a more…

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