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Jun 17th, 2019
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  1. nWords = 1000
  2. sequence_length = 25
  3. model = Sequential()
  4. model.add(Embedding(input_dim=nWords, output_dim=256, input_length=sequence_length, name='Embedding_Layer'))
  5. model.add(LSTM(128))
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