How to do fastai - Study plans & Learning strategies - Part 2 (2019) - fast.ai Course Forums
This discussion is quite lively… so I am thinking that maybe some of you might be looking for mini projects to get your hands dirty with training… More information in this post 12. tldr: I think the datasets by fastai 28 are an underappreciated resource. Started to create a starter pack 13 for imagewoof. Was thinking of keeping the repo private as I work on this but am thinking that maybe someone might find a use for it already, maybe as a refresher before part 2… Anyhow - whether you use this code or not is immaterial, but do check out the datasets here 28. They are a super valuable learning resource! @radek This is definitely as good exercise/mini-project. I had completely missed that something like this can also be undertaken. Will take up one dataset at a time and update my GitHub I need a project first and then go through the lessons. I think my biggest learning has happened after struggling through Kaggle competitions. Working with tabular data I have probably, looked through Ros
June 28, 2019, 11:29pm 40 Hey guys, sorry for any delay on this. I’ve gone the google drive + GitHub route. The Part 1 2019 audio is up. I’m going to add the intro to ML and Part 2 2018. I’ll add Part 2 2019 upon request (or accept PRs from others who do it). So far having listened to a few of the lessons for Part 1 in audio only mode, I have to say I’m not a huge fan of listening podcast style. There are definitely certain parts that do really well as audio (general advice, talking about specifics like heuristics for tuning learning rates…etc) but for the most part it doesn’t seem like a…
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