I took the available courses outlines, video timelines and autogenerated youtube subtitles and spliced them together to make searchable html/pdf files.
Here are the direct links to PDFs:
- fast.ai - Deep Learning Part 1 (v2) Transcript (2018).pdf
- fast.ai - Deep Learning Part 2 (v2) Transcript (2018).pdf
- fast.ai - Intro To Machine Learning 1 (v1) Transcript (2018).pdf
Since youtube’s subtitles are just an endless sequence of lowercase words, I used a Neural Net project http://bark.phon.ioc.ee/punctuator to automatically create sentences and add punctuation. It did a pretty good job.
The outcome is usable, but it can be made very useful if the community will make an effort to proofread the transcripts while watching the videos and make the corrections where necessary.
To download the transcript pdfs/htmls and see how you could contribute with proofreading please see:
In order not to duplicate the effort before you start working on proofreading the transcripts it’d be a good idea to reply here in a comment and indicate which course-lesson(s)-section(s) you’re working on and update your comment as you complete things. But of course only do that if you are doing the work.
p.s. perhaps the fastai-transcript git repo I created can be integrated with fastai github user, since it’s really part of fastai. I enjoyed creating the mashups but I don’t need to hold onto this sub-project now that it has been birthed.