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What is Encoder and Decoder Models about?

Encoder and Decoder models are essential architectures in deep learning, particularly for tasks like NLP, machine translation, and speech recognition. The Encoder processes input sequences to create a context vector, while the Decoder generates output sequences from this vector. Modern advancements, such as the Transformer architecture and attention mechanisms, have significantly enhanced the performance of these models.

Author

kirantraining78

Language

EN