What is sequence-to-sequence task?
A type of machine learning task where the input and output are both sequences of data
sequence-to-sequence task explained in plain English
Analogy
Think of a sequence-to-sequence task like a conversation with a translator. You speak a sentence in one language, and the translator responds with the same sentence in another language. The input sequence is your sentence, and the output sequence is the translated sentence.
Example
Google Translate is a real-world example of a sequence-to-sequence task. When you type a sentence in one language, the model generates a translated sentence in another language.
How is sequence-to-sequence task used?
Common misconceptions about sequence-to-sequence task
History
Sequence-to-sequence tasks have been used in machine learning since the 2010s, with the development of recurrent neural networks (RNNs) and long short-term memory (LSTM) networks.
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