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  3. Recurrent Neural Networks (RNNs) for Language Modeling with Keras
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Bài tập

Your first RNN model

In this exercise you will put in practice the Keras modules to build your first RNN model and use it to classify sentiment on movie reviews.

This first model has one recurrent layer with the vanilla RNN cell: SimpleRNN, and the output layer with two possible values: 0 representing negative sentiment and 1 representing positive sentiment.

You will use the IMDB dataset contained in keras.datasets. A model was already trained and its weights stored in the file model_weights.h5. You will build the model's architecture and use the pre-loaded variables x_test and y_test to check the its performance.

Hướng dẫn

100 XP
  • Add the SimpleRNN cell with 128 units.
  • Add a Dense layer with one unit for sentiment classification.
  • Use the proper loss function for binary classification.
  • Evaluate the model on the pre-trained validation set: (x_test, y_test).