From 8413785859d8ce9c64c66ef0aed43cd3f2652cfe Mon Sep 17 00:00:00 2001 From: Alexis Cook Date: Mon, 19 Oct 2020 13:15:51 -0500 Subject: [PATCH] dl for cv --- notebooks/deep_learning/{default.yaml => prod.yaml} | 4 ++-- notebooks/deep_learning/track_meta.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) rename notebooks/deep_learning/{default.yaml => prod.yaml} (97%) diff --git a/notebooks/deep_learning/default.yaml b/notebooks/deep_learning/prod.yaml similarity index 97% rename from notebooks/deep_learning/default.yaml rename to notebooks/deep_learning/prod.yaml index 9d893ec34..97b5a2d57 100644 --- a/notebooks/deep_learning/default.yaml +++ b/notebooks/deep_learning/prod.yaml @@ -1,6 +1,6 @@ # Rendered ipynb files and kernel metadata json files for this config will be saved at notebooks/// 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) @@ -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 diff --git a/notebooks/deep_learning/track_meta.py b/notebooks/deep_learning/track_meta.py index 942f30a94..815358cf3 100644 --- a/notebooks/deep_learning/track_meta.py +++ b/notebooks/deep_learning/track_meta.py @@ -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' )