Comments (3)
shirishr
commented on May 20, 2024
or maybe it is going to be the punch line :-). The 1.0 looks good and docs.fast.ai is very helpful !! I could fill in the missing cells, correct cells where necessary and ran the whole notebook.
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fpingham
commented on May 20, 2024
The line is there now.
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tobystic
commented on May 20, 2024
Ah! @fpingham it seems they took it out again . Luckily I found another learner:
learn = cnn_learner(data, models.resnet18, metrics=accuracy)
The two methods seem to take similar parameters and learn.fit works just fine
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Related Issues (20)
- Update `start_colab.html`
- Dead links HOT 2
- Getting Error "The command '/bin/sh -c python app/server.py' returned a non-zero code: 1" HOT 2
- /usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:2854: UserWarning: The default behavior for interpolate/upsample with float scale_factor will change in 1.6.0 to align with other frameworks/libraries, and use scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. warnings.warn("The default behavior for interpolate/upsample with float scale_factor will change "
- Google Colab Install error HOT 2
- writing config
- problem in notebook 12c_ulmfit HOT 1
- Error while building fastprogress
- MCDropoutCallback Attribute Error: model
- deeplearning.net is down; datasets unreachable HOT 2
- Keep-Alive-Actions
- Keep-Alive-Actions
- Keep-Alive-Actions
- seems like the code is inconsistent with latest fastai HOT 1
- nb2 06_cnn_cuda_hooks_init.ipynb plotting errors
- not able to show predictions for COCO like dataset for pascal.ipynb notebook
- About Lesson 2
- How to get values for number of true positives, false positives and false negatives for object detection evaluation in pascal.ipynb notebook
- AttributeError: 'RecordOnCPU' object has no attribute 'input'？
- Hi HOT 1
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