Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Exercise 01

The video tutorial explains the many-to-many architecture of Recurrent Neural Networks (RNNs), where the input and output lengths are equal. It discusses how inputs and outputs are represented as vectors and provides examples of scenarios where this architecture is applicable. The tutorial emphasizes that while each input-output pair has equal lengths, different pairs can have varying lengths.

What new insight or understanding did you gain from this video?

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