Long Short-Term Memory (LSTM)

URI: https://gptkb.org/entity/Long_Short-Term_Memory_%28LSTM%29

GPTKB entity

Statements (53)

Predicate	Object
gptkbp:instance_of	gptkb:neural_networks
gptkbp:characteristic	gptkb:gates cell state memory cell
gptkbp:developed_by	gptkb:Jürgen_Schmidhuber gptkb:Sepp_Hochreiter
gptkbp:has_applications_in	gptkb:vehicles chatbots recommendation systems
gptkbp:has_feature	forget gate input gate output gate
gptkbp:has_limitations	computationally intensive difficult to interpret requires large datasets
https://www.w3.org/2000/01/rdf-schema#label	Long Short-Term Memory (LSTM)
gptkbp:improves	vanishing gradient problem
gptkbp:introduced_in	gptkb:1997
gptkbp:is_applied_in	speech recognition video analysis image captioning
gptkbp:is_compared_to	gptkb:Gated_Recurrent_Unit_(GRU)
gptkbp:is_evaluated_by	accuracy loss function training time
gptkbp:is_influenced_by	gptkb:infrastructure input sequence length training parameters
gptkbp:is_optimized_for	long-range dependencies
gptkbp:is_part_of	gptkb:neural_networks
gptkbp:is_popular_in	gptkb:robotics financial forecasting time series analysis healthcare analytics
gptkbp:is_related_to	attention mechanisms transformer models sequence-to-sequence models
gptkbp:is_trained_in	Stochastic Gradient Descent Backpropagation Through Time
gptkbp:is_used_for	language translation sentiment analysis text generation
gptkbp:is_used_in	gptkb:Tensor_Flow gptkb:Keras gptkb:Py_Torch
gptkbp:related_to	gptkb:Artificial_Intelligence gptkb:machine_learning gptkb:Deep_Learning
gptkbp:used_for	natural language processing time series forecasting sequence prediction
gptkbp:bfsParent	gptkb:Jürgen_Schmidhuber
gptkbp:bfsLayer	3