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Encoder-Decoder Architecture

Coursera · Intermediate ·📐 ML Fundamentals ·3mo ago

Skills: Supervised Learning70%ML Maths Basics60%

Key Takeaways

Explains the encoder-decoder architecture for sequence-to-sequence tasks like machine translation and question answering

Original Description

This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.

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