Conv LSTM

GPTKB entity

Statements (60)

Predicate	Object
gptkbp:instance_of	gptkb:microprocessor
gptkbp:bfsLayer	5
gptkbp:bfsParent	gptkb:Long_Short-Term_Memory_Network
gptkbp:applies_to	traffic prediction weather forecasting video analysis
gptkbp:can_be_used_with	Convolutional Neural Networks and LST Ms
gptkbp:content_type	Convolutional Layer LSTM Layer
gptkbp:developed_by	Shengshi Liu
gptkbp:first_introduced	gptkb:2015
gptkbp:has_programs	gptkb:robot healthcare autonomous driving
https://www.w3.org/2000/01/rdf-schema#label	Conv LSTM
gptkbp:is_different_from	Standard LSTM
gptkbp:is_evaluated_by	accuracy metrics real-time data F1 score loss functions precision and recall benchmark datasets synthetic datasets real-world tasks
gptkbp:is_implemented_in	gptkb:Graphics_Processing_Unit gptkb:Py_Torch
gptkbp:is_known_for	handling spatial and temporal dependencies
gptkbp:is_optimized_for	gptkb:Adam_optimizer SGD
gptkbp:is_part_of	gptkb:Model gptkb:Research_Institute data science projects machine learning applications time series analysis deep learning frameworks computer vision tasks sequence modeling techniques
gptkbp:is_popular_in	deep learning community
gptkbp:is_related_to	gptkb:television_channel gptkb:Recurrent_Neural_Networks Temporal Convolutional Networks
gptkbp:is_similar_to	3 D Convolutional Networks
gptkbp:is_used_by	gptkb:physicist industry practitioners
gptkbp:is_used_for	sequence prediction forecasting tasks spatiotemporal data prediction
gptkbp:is_used_in	gptkb:sports_team gptkb:academic_research environmental monitoring financial forecasting commercial applications video prediction image captioning action recognition
gptkbp:requires	GPU for training large datasets for training
gptkbp:training	overfitting Backpropagation Through Time vanishing gradients