---
id: 5e8f2f13c4cdbe86b5c72d9e
title: 'Natural Language Processing With RNNs: Sentiment Analysis'
challengeType: 11
videoId: lYeLtu8Nq7c
---
## Description
## Tests
```yml
question:
text: |
Fill in the blanks below to create the model for the RNN:
```py
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`
solution: 3
```