The sequence-to-sequence model (seq2seq) is basically the many-to-many architecture of an RNN. It has been used for various applications because it can map an arbitrary-length input sequence to an arbitrary-length output sequence. Some of the applications of the seq2seq model include language translation, music generation, speech generation, and chatbots.
In most real-world scenarios, input and output sequences vary in length. For instance, let's take the language translation task, during which we need to convert a sentence from a source language to a target language. Let's assume we are converting from English (source) to French (target).
Consider our input sentence is what are you doing? Then, it would be mapped to que faites vous? As we can observe, the input sequence consists of four words, whereas the output sequence...
