This course offers a comprehensive overview of the encoder-decoder architecture, a fundamental machine learning model for sequence-to-sequence tasks. Through a series of engaging modules and practical lab exercises, you will gain a thorough understanding of the main components of the architecture, learn how to train and generate text from the model, and develop your own encoder-decoder model in Keras.
Key learnings include:
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This course covers the main components of the encoder-decoder architecture and includes a lab walkthrough and quiz to reinforce your understanding.
This module provides an overview of the encoder-decoder architecture, highlighting its main components and applications in machine learning. Following this, the lab walkthrough guides you through a practical implementation in TensorFlow, while the accompanying resources provide additional support. The module concludes with a quiz to test your understanding.
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