Sequence-to-Sequence Learning with Neural Networks

Let's talk about sequence-to-sequence learning with neural networks, a pioneering approach that has revolutionized the way we handle sequential data in machine learning.

To start with, let's explain what sequence-to-sequence learning is. It's a type of model used for tasks where both the input and the output are sequences, but not necessarily of the same length. These tasks include machine translation (translating English sentences to French, for instance), speech recognition, and text summarization.

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