Thanks for sharing the link Megan!
Iâve just added a few more people to the calendar invite and the meeting notes. If more folks want the invite please DM me your email address.
Hi all, reminder that fastai2 study group kicks off tonight at 6pm PST at this URL: meet.google.com/bhx-jwph-bnx . See you there!
P.S. Iâve updated the wiki post on this thread with the link. If youâd like to be added to the calendar invites message me your email.
Possible Ch2 related topics we could cover:
- What kind of tabular data is deep learning NOT particularly good at?
- How might an e-commerce company like Amazon tackle the downsides of deep learning based recommendation systems such as: recommending books by the same author, or items someone has already purchased?
- Map the steps of the Drivetrain approach to a Kaggle contest (for ex: Titanic, Amazon Rainforests, or your choice)
- Take a past work (or side) project youâve done that had a data component and imagine a deep learning model was applied. What would be an example of âdomain shiftâ for that project?
- For a project youâre interested in applying deep learning to, a) Describe how the 3 stages of deployment processes (manual process, limited scope, gradual expansion) would work. b) Pretend youâve completed that future project already, and it went really, really well? Describe whatâs happened as a result.
- Share the link to an image recognition model you created using data you curated that is deployed on the web.
- Share the link to a deep learning blog post you wrote.
If you havenât already, please fill out the anonymous survey for the Tuesday study groups: https://docs.google.com/forms/d/e/1FAIpQLSdsk_Uk-8gu1XlQ2DKVdQnqsR-AIcwppFwpBjBSUqm_Qi0eJA/viewform?usp=sf_link
Looking for both people who regularly attend, and those who have not had a chance to attend.
Hi all,
For our biweekly online presentation meetings (next one scheduled for Thursday, July 16 at 6pm) - @tyoc213 and I (@butchland) would like to present our work-in-progress project on getting fastai2 running on a TPU using Pytorch-XLA.
If you would like to join, the meeting details are here
Our project code is here
Best regards,
Butch
@butchland looking forward to it!
Updating the meeting link
and the schedule to 7PM San Francisco time.
Hello, for anyone who is watching is interested in the second half of the notebooks, please fill out this form: https://forums.fast.ai/t/part-2-notebook-review/75269
Results are in! It seems Mondays are the best, though we will be having two times. Starting at 12PM-3PM, and 6PM-9PM our regular time, though on Monday.
@butchland @tyoc213 Can you both make next Monday 6-9PM? Also feel free to message anyone else you know is interested.
Yes Iâm available for the 6-9 pm slot.
Thanks!
@butchland @pinaki @tyoc213 Here is the new google calendar link: https://calendar.google.com/calendar/embed?src=s59fhs8iql3iuttdnjp7t3ad8g%40group.calendar.google.com&ctz=America%2FLos_Angeles
Hi @marii,
Can you post the meeting link?
Iâm not sure if my calendar invite has the right one.
Thanks,
Butch
Hi @marii
which notebook will we be covering today ?
I previously suggested CNN chapter (13 I think) but we can discuss alternatives if you want.
Best regards
Butch
Hey Molly,
What is the study group looking at these days? Is the group doing the later lessons?
Thanks,
Daniel
Yes, we are doing the later lessons. Next notebook is 13_convolutions.ipynb.
We are meeting on Mondays now, the link to the google calendar is a few messages above.
FYI Iâve updated the post at the top of this thread with Monday evening details + link to your calendar. I believe you can also edit that post @marii.
@steef I think I signed up to present something. I have a few things I can prepare, but was there something I specifically signed up for to present on Thursday?
I have you on the agenda for optimizers. Does that work? Honestly anything that youâd be happy to present on will be more than welcome! Thanks Molly! @marii