ee1e8abd87
* 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>
50 lines
587 B
Markdown
50 lines
587 B
Markdown
---
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id: 5e8f2f13c4cdbe86b5c72d9e
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challengeType: 11
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videoId: lYeLtu8Nq7c
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dashedName: natural-language-processing-with-rnns-sentiment-analysis
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---
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# --question--
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## --text--
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Fill in the blanks below to create the model for the RNN:
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```py
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model = __A__.keras.Sequential([
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__A__.keras.layers.__B__(88584, 32),
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__A__.keras.layers.__C__(32),
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__A__.keras.layers.DENSE(1, activation='sigmoid')
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])
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```
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## --answers--
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A: `tensor_flow`
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B: `embedding`
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C: `LSTM`
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---
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A: `tf`
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B: `Embedding`
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C: `AlphaDropout`
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---
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A: `tf`
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B: `Embedding`
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C: `LSTM`
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## --video-solution--
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3
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