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Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at dealing with the vanishing gradient problem present in traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models and other sequence learning methods.
Jun 10, 2024 · Long Short-Term Memory is an improved version of recurrent neural network designed by Hochreiter & Schmidhuber. A traditional RNN has a single hidden state that is passed through time, which can make it difficult for the network to learn long-term dependencies.
Nov 15, 1997 · We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient based method called long short-term memory (LSTM).
Jul 6, 2021 · Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction problems. This is a behavior required in complex problem domains like machine translation, speech recognition, and more.
Sep 8, 1997 · In this work, we first analyze the memory behavior in three recurrent neural networks (RNN) cells; namely, the simple RNN (SRN), the long short-term memory (LSTM) and the gated recurrent unit (GRU), where the memory is defined as a function that ...
Jan 4, 2024 · LSTM (Long Short-Term Memory) is a recurrent neural network (RNN) architecture widely used in Deep Learning. It excels at capturing long-term dependencies, making it ideal for sequence prediction tasks.
Dec 1, 1997 · We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient-based method called long short-term memory (LSTM).
Sep 12, 2019 · Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN) are one of the most powerful dynamic classifiers publicly known. The network itself and the related learning algorithms are...
This article presents long short-term memory (LSTM), a novel recurrent network architecture in conjunction with an appropriate gradient-based learning algorithm.
Jan 2, 2023 · One of the most famous of them is the Long Short Term Memory Network (LSTM). In concept, an LSTM recurrent unit tries to “remember” all the past knowledge that the network is seen so far and to “forget” irrelevant data. This is done by introducing different activation function layers called “gates” for different purposes.
