An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

The transformer’s encoder doesn’t just send a final step of encoding to the decoder; it transmits all hidden states and encodings.

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

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