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Sequence Modeling

Predicting or transforming ordered data by exploiting the dependence of each element on its context, typically factorizing the joint probability into stepwise conditionals. Order sensitivity is what separates it from bag-of-features learning.

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Sequence Modeling with Recurrent Neural Networks in Deep Learning

Recurrent Neural Networks (RNNs) represent a class of neural architectures designed to model sequential data by maintaining hidden cell states that capture temporal dependencies across variable-lengt…