« Réseau de neurones récurrents bidirectionnel » : différence entre les versions


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Version du 15 décembre 2020 à 12:19

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Définition

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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.


Source : DeepAI.org