654 B
654 B
id | title | challengeType | videoId | dashedName |
---|---|---|---|---|
5e8f2f13c4cdbe86b5c72d9e | Natural Language Processing With RNNs: Sentiment Analysis | 11 | lYeLtu8Nq7c | natural-language-processing-with-rnns-sentiment-analysis |
--question--
--text--
Fill in the blanks below to create the model for the 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