Réseau récurrent à longue mémoire court terme

Domaine

Catégorie Démo Apprentissage profond

Anglais

LSTM

Long Short-Term Memory networks were invented to prevent the vanishing gradient problem in Recurrent Neural Networks by using a memory gating mechanism. Using LSTM units to calculate the hidden state in an RNN we help to the network to efficiently propagate gradients and learn long-range dependencies. • Long Short-Term Memory • Understanding LSTM Networks • Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU/LSTM RNN with Python and Theano