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--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