freeCodeCamp/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md

id, challengeType, videoId

id	challengeType	videoId
5e8f2f13c4cdbe86b5c72d9e	11	lYeLtu8Nq7c

--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

--hints--

--solutions--