feat(curriculum): restore seed + solution to Chinese (#40683)
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
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@ -2,6 +2,7 @@
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id: 5e9a0e9ef99a403d019610cc
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challengeType: 11
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videoId: bejQ-W9BGJg
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dashedName: deep-learning-demystified
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---
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# --question--
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@ -30,8 +31,3 @@ None of the above.
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2
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# --hints--
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# --solutions--
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@ -2,6 +2,7 @@
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id: 5e9a0e9ef99a403d019610cd
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challengeType: 11
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videoId: Y5M7KH4A4n4
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dashedName: how-convolutional-neural-networks-work
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---
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# --question--
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@ -26,8 +27,3 @@ If your data is text or sound based.
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1
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# --hints--
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# --solutions--
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@ -2,6 +2,7 @@
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id: 5e9a0e9ef99a403d019610ca
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challengeType: 11
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videoId: zvalnHWGtx4
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dashedName: how-deep-neural-networks-work
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---
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# --question--
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@ -26,8 +27,3 @@ There is no difference between the two methods.
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1
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# --hints--
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# --solutions--
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@ -2,6 +2,7 @@
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id: 5e9a0e9ef99a403d019610cb
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challengeType: 11
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videoId: UVimlsy9eW0
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dashedName: recurrent-neural-networks-rnn-and-long-short-term-memory-lstm
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---
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# --question--
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@ -26,8 +27,3 @@ Prediction, ignoring, forgetting, and selection.
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3
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# --hints--
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# --solutions--
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