![]() If you don't have one just use the pdfs that are part of this git repository, I will keep those up-to-date as I receive improvements from you and others. makepdf script, which requires wkhtmltopdf (with patched qt). To build the "lesson NN.html" html files into a pdf I use a simple. The sections that need editing are in almost plain text format with just, tags, so you don't need to know HTML to do that. If you use an HTML editor it's likely to inject a whole bunch of html tags, in which case it won't be an easy merge and it might get rejected. When you edit the html files please edit them in plain text editor. You can send me back your fixes via git pull or the good ol' patch, which you can email me as an attachment or with a link to dropbox/gdrive/etc. S#Pi ?torch|paytorch|hi ?torch#pytorch#ig S#fast,? AI|first AI|FASTA guy#fastai#ig I have applied the following fixes already (Perl regex syntax): Sometimes the subtitle generator made a consistent mispelling and it's easier to fix those across all files at once, so if you find any such multiple occurances of the same mispelling please let me know. Please move them together to where the whole sentence belongs. At time the first half of the sentence is in one section of the document, and the second half is in the following section. ![]() So you may need to move some parts of the sentence around to make them whole again. Since the files were generated automatically, including paragraphs, and punctuation - often sentences got split in the wrong place. The following course transcripts currently need work: ![]() The git repository contains multiple files but please ignore the files in the build directories and only work on the "lesson NN.html" files. If you'd like to contribute you can just proofread a single section of a few paragraphs, or a few. fast.ai - Intro To Machine Learning 1 (v1) Transcript (2018).pdf.fast.ai - Deep Learning Part 2 (v2) Transcript (2018).pdf. ![]() fast.ai - Deep Learning Part 1 (v2) Transcript (2018).pdf.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. Since youtube's subtitles are just an endless sequence of lowercase words, I used a Neural Net project to automatically create sentences and add punctuation. I took the available courses outlines, video timelines and autogenerated youtube subtitles and spliced them together to make searchable html/pdf files. Video Transcripts of fast.ai MOOC courses made into searchable ebooks. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |