Please excuse me if I’m sharing something you already know.
I just realised that a thesis is somewhat a book on a set of papers with the required background chapters!
So there is the Math background, the required NLP details and finally the main research (All in much more detail).
I’m a fan of Sebastian Ruder so I will read it slowly once I complete my homework/tasks from each week 
I’m LunchWithaLens on Twitter.
The live link should be posted in Part 2 right?
I’m probably overreacting just thought it would be up by now.
Yes, waiting too… Only 15 mts more
Why I am so excited !!!
Perhaps they like teasing us, you are not alone, 10 mins.
Cheers, p
Because it is sooo goog and understandable … Professor JH is a natural teacher.
It’s up now! Thread at least
A bit of an echo in the mic right now. Just a note.
Hi everyone, looking forward!
Is there a schedule for Part2 which highlights all the topics covered in each class?
Check the first lecture (no 8).
Jeremy shared a course plan and went over some of what will be covered in the next few lessons.
What time is it?! It’s Fast.ai time!! Wohoo.
@alephthoughts here.
Happy to help (or at least try to :)) anyone using the Azure Linux Data Science VM with FastAI built in - or Windows - and having issues. Lesson 8 worked fine in either environment for me.
Anyone remember which lesson this conv-example.xlsx spreadsheet was originally talked about?
My study buddy tonight
I know it was in the CNN lesson of the 2018 version of DL1. I am not sure which lesson for 2019 DL1.
Worked fine for me!
