Overview
In this notebook, you use encoder-decoder architecture to create a text translation function.
Learning Objectives
- Create a tf.data.Dataset for a seq2seq problem.
- Train an encoder-decoder model in Keras for a translation task.
- Save the encoder and the decoder as separate model.
- Merge the trained encoder and decoder into a translation function.
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