Réseau de neurones récurrents bidirectionnel
en construction
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Bidirectional Recurrent Neural Networks
Bidirectional recurrent neural networks (BRNN) connect two hidden layers running in opposite directions to a single output, allowing them to receive information from both past and future states. This generative deep learning technique is more common in supervised learning approaches, rather than unsupervised or semi-supervised because how difficult it is to calculate a reliable probabilistic model.
Contributeurs: Imane Meziani, Jean Benoît Morel, wiki