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freeCodeCamp/curriculum/challenges/chinese/11-machine-learning-with-py.../tensorflow/natural-language-processing...

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fix: QA/Infosec update and python to chinese
2020-08-13 10:00:20 +00:00
---
id: 5e8f2f13c4cdbe86b5c72d9f
chore(i8n,learn): processed translations
2021-02-06 04:42:36 +00:00
title: 'Natural Language Processing With RNNs: Making Predictions'
fix: QA/Infosec update and python to chinese
2020-08-13 10:00:20 +00:00
challengeType: 11
videoId: WO1hINnBj20
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>
2021-01-13 02:31:00 +00:00
dashedName: natural-language-processing-with-rnns-making-predictions
fix: QA/Infosec update and python to chinese
2020-08-13 10:00:20 +00:00
---
chore(learn): Applied MDX format to Chinese curriculum files (#40462)
2020-12-16 07:37:30 +00:00
# --question--
## --text--
Before you make a prediction with your own review, you should...:
## --answers--
decode the training dataset and compare the results to the test data.
---
use the encodings from the training dataset to encode your review.
---
assign random values between 0 and the maximum number of vocabulary in your dataset to each word in your review.
## --video-solution--
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