It’s really useful to switch between fast AI v1 & v2, because I can get more insights into the fundamentals.
I got stuck at 02_Custom_Image_Classification when I use the cnn learner learn = cnn_learner(dbunch, resnet34, pretrained=True, metrics=error_rate)
The Learner object that is returned has no attribute ‘fit_one_cycle’. I used the help function on the learn variable and the fit_one_cycle method doesn’t show up.
I’m using Google Colab, I did restart the runtime and I get the same error. I’ve also rewritten the code & pasted ~approx everything you wrote in the guide and same error showing up.
n.b: my Leaner object also doesn’t have a lr_find() method.
I’m working on NLP next, I plan on trying to migrate Multi-FiT over once I finish with an IMDB sample and IMDB (so we can see from_csv and the original from folders). If anyone has particular topics they want me to do for notebooks please let me know Otherwise here is the outline of what is left in no particular order:
08_Rossmann - Will wait until tabular issues are fixed 09a_IMDB_Sample 09b_IMDB_Full 09c_IMDB_SP/Forward/Backward/Ensembling 10a_MultiFiT 11_Segmentation 3c_Baysian
(Possibly GAN and/or object detection)
Multiple points (pose detection)
DeViSe
I’ve added in an Object Detection notebook based on RetinaNet in 2.0. This also shows how to do multi-output predictions for bounding boxes (until they are supported in the library)
There are issues (like I mentioned in the notebook). We’re working on figuring it out slowly. We think it has something to do with the transforms. Know that all the implementations are correct.
Also there are issues with the tabular notebook. I’m trying to get to it this week. (They updated the tabular API)
So a quick update to these, (I promise I’m not ignoring your requests!) I am setting up my lecture material for my study group. The new version will be live streamed so anyone can get involved and to my knowledge will be the first using fastai 2.0. I plan on starting in mid-January next year. I will be including all of the types of models mentioned here and walking through them. For those interested, keep an eye out here in the next week or so for an official mega-thread to discuss it (and if you have any questions feel free to DM me!) This new version for streaming will be new to me, but I’m hoping that it’ll go swell
Edit: Also these current notebooks are outdated In terms of how to install the library, I’ll do my best to update them in the next week or two depending time. In the meantime, follow the install directions here: Fastai-v2 - read this before posting please! 😊
Edit x2: All notebooks are updated and Rossman is there too
Absolutely looking forward to this. I had started out with Jeremy’s walkthrough lectures but had to drop off after the last walkthrough. So haven’t kept pace with fastai 2.0. would be great to learn it from you. Please keep us all in the loop