LSTM

GPTKB entity

Statements (89)

Predicate	Object
gptkbp:instance_of	gptkb:microprocessor
gptkbp:allows	computationally intensive difficult to interpret requires large datasets
gptkbp:can_be_used_with	gptkb:television_channel Attention Mechanisms
gptkbp:developed_by	gptkb:Jürgen_Schmidhuber gptkb:Sepp_Hochreiter
gptkbp:game_components	cell state forget gate input gate output gate
gptkbp:has_programs	gptkb:robot healthcare finance machine translation anomaly detection language modeling image captioning music generation
gptkbp:has_variants	gptkb:Bi-directional_LSTM gptkb:Stacked_LSTM Attention-based LSTM
https://www.w3.org/2000/01/rdf-schema#label	LSTM
gptkbp:improves	vanishing gradient problem
gptkbp:introduced	gptkb:1997
gptkbp:is_characterized_by	forget gate input gate memory cell output gate
gptkbp:is_compared_to	gptkb:television_channel Standard RN Ns feedforward neural networks traditional RN Ns
gptkbp:is_evaluated_by	gptkb:municipality F1 score accuracy precision loss function
gptkbp:is_implemented_in	gptkb:Graphics_Processing_Unit gptkb:Keras gptkb:Py_Torch
gptkbp:is_known_for	handling long-range dependencies reducing overfitting handling long-term dependencies
gptkbp:is_part_of	gptkb:software_framework deep learning
gptkbp:is_popular_in	gptkb:film_production_company gptkb:robot gptkb:Research_Institute healthcare finance data science academia
gptkbp:is_related_to	gptkb:microprocessor gptkb:physicist gptkb:Artificial_Intelligence gptkb:Big_Data gptkb:Gated_Recurrent_Unit_(GRU) gptkb:Gated_Recurrent_Unit
gptkbp:is_supported_by	gptkb:Job_Search_Engine gptkb:DJ gptkb:Microsoft
gptkbp:is_used_by	gptkb:Job_Search_Engine gptkb:Microsoft gptkb:CEO gptkb:Twitter_account gptkb:book
gptkbp:is_used_for	natural language processing speech recognition video analysis time series forecasting sequence prediction
gptkbp:is_used_in	gptkb:software_framework language translation sentiment analysis chatbots anomaly detection image generation
gptkbp:training	gradient descent backpropagation through time
gptkbp:tuning	hyperparameters learning rate number of layers batch size number of units per layer
gptkbp:bfsParent	gptkb:Recurrent_Neural_Networks gptkb:Gated_Recurrent_Unit_(GRU)
gptkbp:bfsLayer	4