Types of RNNs
Although in the RNN structure shown previously, i.e. the lengths of input and output sequences were the same, this is not always the case.
One-to-One RNN
Input and output sequences are of unit length.
One-to-Many RNN
Input sequence is of unit length but the output sequence has a length greater than 1.
Ex. Music Generation, input x could be the genre
Many-to-One RNN
Input sequence has a length greater than 1, but the output sequence is of unit length.
Ex. Text Sentiment Classification
Many-to-Many RNN
Input and output sequences are of equal length
Ex. Named Entity Recognition
Input and output sequences are of different lengths
Ex. Machine Translation i.e. language translation, say from English to French
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