IterativeevaluationofLSTMcellsreferstothestep-by-stepprocessingofinputsequencesthroughLongShort-TermMemory(LSTM)networks.LSTMsareatypeofrecurrentneuralnetwork(RNN)designedtohandlelong-termdependenciesinsequentialdata.Duringiterativeevaluation,theLSTMcellprocessesonetimestepatatime,updatingitshiddenstateandcellstatebasedonthecurrentinputandpreviousstates.Thisallowsthenetworktomaintainandadjustmemoryovertime,makingiteffectivefortasksliketime-seriesprediction,naturallanguageprocessing,andspeechrecognition.Keyaspectsofiterativeevaluationinclude:-Sequentialprocessingofinputdata-Updatinghiddenandcellstatesateachtimestep-Handlingvariable-lengthsequences-Mitigatingvanishing/explodinggradientsthroughgatingmechanismsThisapproachensuresthattheLSTMcanlearnandretainrelevantinformationacrosslongsequenceswhilediscardingirrelevantdata.
