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[DL for CV] Dan's course as new offering #337

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[DL for CV] Dan's course as new offering #337

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4 changes: 2 additions & 2 deletions notebooks/deep_learning/default.yaml → notebooks/deep_learning/prod.yaml
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# Rendered ipynb files and kernel metadata json files for this config will be saved at notebooks/<track>/<tag>/
tag: prod
public: false
public: true
# If true, then exercise kernels synced to kaggle will have internet enabled and will begin
# with a cell that pip installs the current learntools branch. (Useful for testing
# notebooks on Kernels without requiring image docker deploy for every learntools change)
Expand All @@ -20,4 +20,4 @@ testing: false
# should keep their original slugs under author B's namespace. But if author A wants to push
# new testing versions of the notebook, they can set author: author_A in testing.yaml to generate
# new versions of the kernels under their own username.
author: ryanholbrook
author: dansbecker
4 changes: 2 additions & 2 deletions notebooks/deep_learning/track_meta.py
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@@ -1,7 +1,7 @@
track = dict(
author_username='dansbecker',
course_name='Deep Learning',
course_url='https://www.kaggle.com/learn/deep-learning',
course_name='Deep Learning for Computer Vision',
course_url='https://www.kaggle.com/learn/deep-learning-for-computer-vision',
course_forum_url='https://www.kaggle.com/learn-forum/161321'
)

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