I apologize in advance if this question has been asked before, but why does the 1st video stop at LR finder explanation, whereas the 1st notebook has a lot more stuff after that?
Jeremy believes I guess that something should be left for self exploration otherwise it’s like spoon fed…
Also don’t go by the cell number, it’s not that way in the later notebooks…
Model will have parameters?
Model . summary ()?
Just print the learner (m)
(Forgotten the proper call, haven’t run the DL notebooks in a while)
Ok, I just believed the nbs were not yet synced with the videos.
Also, thank you so much for v2. I thought v1 was incredible but struggled with setup (windows native) and also with modifying notebooks to different datasets while maintaining performance. I have only completed the first v2 lesson and used one Kaggle dataset, but the process has been so much smoother and faster. I look forward to digging into the details as I progress!
Thank you so much for what you and Rachel are doing for the community, I cannot believe this is all free. I hope more people will take advantage of such an incredible resource in order to improve lives around the world.
Could anyone reply with a link to upload your dataset into Crestle in order to practice lesson 1
please, is it possible to accelerate the pip version update of fastai library?
https://pypi.python.org/pypi/fastai/0.6 (that is from 2017-11-29).
Indeed, I found it more stable in some environments, but the new updates such as the opencv dependency removing in favor of PIL have to be taken into account.
Could we have an idea of when that will be done, please?
Hi, can you please send another link? This link has expired too! I am desperately looking for a study group!
Hello, Just saying HI! I’m about done with the first week, and really enjoying the course! Thanks a million for putting this stuff online!
Data Science @ College Vine