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Encoder–Decoder Architecture

This course introduces one of the most important concepts in deep learning. Encoder-decoder architecture is widely used for: • Machine translation • Text summarisation • Speech recognition • Image captioning • Language generation You'll learn: • What encoders do • What decoders do • Information flow • Sequence-to-sequence learning • Neural network architecture Although slightly more technical than previous courses, Google explains the concepts in an easy-to-understand way.

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