Great. I’ll gather my notes and either share them here or we can meet in person at class.
It would be nice to see the code, but don’t see a reference to it on the paper
i attend remote and not in person, may be please create a seperate threat for “question and answer for NLP” and share your notes. I am sure there will be lot many more people who will be interested as well.
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Fastai.audio. I’m excited. 
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positional arguments vs keyword arguments, why used one over the other? keyword arguments are usually optional if I remember correctly.
how can I get you the notebook?
We run a remote study group on TWiML AI , we meet via zoom on Saturday mornings at 9am Pacific time.
Wow, great. Can I get a link? I’d love to join in. Also, if there are any documents or threads I can read before I show up, that would be great.
Thank you!
Hi All,
I started a topic in the open to all “Deep Learning” section of the forum where we can advertise Calls For Proposals (CFPs) and help each other write abstracts/prepare for presentations.
Check it out here. I also posted a good opportunity for beginners to present. Note the deadline for submission is Wednesday April 24th, so start thinking about your abstract now 
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Has anyone tried using fastai with VS Code’s debugger? I have a lot of trouble getting the two to play nicely together.
I used Pycharm’s debugger and it works fine. Sorry, haven’t tried VS Code.
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Life’s been hectic here and I missed the second half of part 2 
I’m currently catching up and I’m curious: is there an upcoming part 3?
Nope.
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Check the twiml virtual study group
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I don’t remember which class we discussed an alternative to Flask. What was the Flask-like library that handles long-running requests, suitable for serving our models?
I think https://www.starlette.io/ is the one that was briefly mentioned in lesson two of part one (https://youtu.be/ccMHJeQU4Qw?t=2606)