734 B
734 B
id | title | challengeType | videoId | bilibiliIds | dashedName | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|
5e8f2f13c4cdbe86b5c72d9e | Processamento de linguagem natural com RNNs: Análise de sentimentos | 11 | lYeLtu8Nq7c |
|
natural-language-processing-with-rnns-sentiment-analysis |
--question--
--text--
Preencha as lacunas abaixo para criar o modelo para a 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