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Natural Language Processing With RNNs: Sentiment Analysis

curriculum/challenges/english/blocks/tensorflow/5e8f2f13c4cdbe86b5c72d9e.md

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--questions--

--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

--video-solution--

3