1. Learn
    2. /
  2. Courses
    3. /
  3. Recurrent Neural Networks (RNN) for Language Modeling in Python

Exercise

Using the CNN layer

In this exercise, you will use a pre-trained model that makes use of the Conv1D and MaxPooling1D layers from the keras.layers.convolutional module, and achieves even better accuracy on the classification task.

This architecture achieved good results in language modeling tasks such as classification, and is added here as an extra exercise to see it in action and have some intuitions.

Because this layer is not in the scope of the course, you will focus on how to use the layers together with the RNN layers you already learned.

Please follow the instructions to see the results.

Instructions

100 XP
  • Print the model's architecture.
  • Load the pre-trained weights.
  • Evaluate the model on the test data.