- Long Short-Term Memory (LSTM) is a type of artificial recurrent neural network (RNN) architecture used in the field of deep learning.
- Machine learningand data mining. v. t. e. The Long Short-Term Memory (LSTM) cell can process data sequentially and keep its hidden state through time.
- ...Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient-based method called long short-term memory (LSTM).
- Long Short-Term Memory (LSTM) is a powerful type of recurrent neural network (RNN) that is well-suited for handling sequential data with long-term...
- Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) capable of learning and remembering information over time.
- Although there are multiple ways of dealing with this problem such as normalization and initialization, the Long short-term memory (LSTM) layer is another way...
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- These networks can remember short-term memories for a very long time, so they are named as long short-term memory.
- Another solution to the vanishing gradient and forgetting problems is the LSTM (long short-term memory) RNN.
- Long Short-Term Memory. Sepp Hochreiter Fakulta¨t fu¨ r Informatik, Technische Universita¨t Mu¨ nchen, 80290 Mu¨ nchen, Germany.
