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* chore(i18n,learn): processed translations * Update Ukrainian file to match state on crowdin Co-authored-by: Ilenia <nethleen@gmail.com>
55 lines
757 B
Markdown
55 lines
757 B
Markdown
---
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id: 5e8f2f13c4cdbe86b5c72d9e
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title: 'Procesamiento del lenguaje natural con RNN: análisis de sentimiento'
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challengeType: 11
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videoId: lYeLtu8Nq7c
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bilibiliIds:
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aid: 933111408
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bvid: BV1TM4y137VB
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cid: 409135996
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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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Complete los espacios en blanco a continuación para crear el modelo para la 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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