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* chore(i18n,learn): processed translations * Update Ukrainian file to match state on crowdin Co-authored-by: Ilenia <nethleen@gmail.com>
757 B
757 B
id, title, challengeType, videoId, bilibiliIds, dashedName
| id | title | challengeType | videoId | bilibiliIds | dashedName | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 5e8f2f13c4cdbe86b5c72d9e | Procesamiento del lenguaje natural con RNN: análisis de sentimiento | 11 | lYeLtu8Nq7c |
|
natural-language-processing-with-rnns-sentiment-analysis |
--question--
--text--
Complete los espacios en blanco a continuación para crear el modelo para la RNN:
model = __A__.keras.Sequential([
__A__.keras.layers.__B__(88584, 32),
__A__.keras.layers.__C__(32),
__A__.keras.layers.Dense(1, activation='sigmoid')
])
--answers--
A: tensor_flow
B: embedding
C: LSTM
A: tf
B: Embedding
C: AlphaDropout
A: tf
B: Embedding
C: LSTM
--video-solution--
3