Artificial Neural Networks Applications and Algorithms

A neural network is a group of algorithms that certify the underlying relationship in a set of data similar to the human brain. The neural ... DataScience ArtificialNeuralNetworksApplicationsandAlgorithms byNavdeepSinghGill|07April2021 Subscription Freshnewsdirectlytoyourmailbox Email* SUBMIT Thanksforsubmittingtheform. WhatisanArtificialNeuralNetwork? ArtificialNeuralNetworksarecomputationalmodelsandinspirebythehumanbrain.ManyoftherecentadvancementshavebeenmadeinthefieldofArtificialIntelligence,includingVoiceRecognition,ImageRecognition,RoboticsusingArtificialNeuralNetworks.ArtificialNeuralNetworksarethebiologicallyinspiredsimulationsperformedonthecomputertoperformcertainspecifictaskslike- Clustering Classification PatternRecognition ArtificialNeuralNetworks,ingeneral-isabiologicallyinspirednetworkofartificialneuronsconfiguredtoperformspecifictasks.ThesebiologicalmethodsofcomputingareknownasthenextmajoradvancementintheComputingIndustry. WhatisaNeuralNetwork? Theterm‘Neural’hasoriginfromthehuman(animal)nervoussystem’sbasicfunctionalunit‘neuron’ornervecellspresentinthebrainandotherpartsofthehuman(animal)body.Aneuralnetworkisagroupofalgorithmsthatcertifytheunderlyingrelationshipinasetofdatasimilartothehumanbrain.Theneuralnetworkhelpstochangetheinputsothatthenetworkgivesthebestresultwithoutredesigningtheoutputprocedure.YoucanalsolearnmoreaboutONNXinthisinsight. PartsofNeuronandtheirFunctions Thetypicalnervecellofthehumanbraincomprisesoffourparts- FunctionofDendrite Itreceivessignalsfromotherneurons. Soma(cellbody) Itsumsalltheincomingsignalstogenerateinput. AxonStructure Whenthesumreachesathresholdvalue,theneuronfires,andthesignaltravelsdowntheaxontotheotherneurons. SynapsesWorking Thepointofinterconnectionofoneneuronwithotherneurons.Theamountofsignaltransmitteddependsuponthestrength(synapticweights)oftheconnections.Theconnectionscanbeinhibitory(decreasingstrength)orexcitatory(increasingstrength)innature.So,aneuralnetwork,ingeneral,hasaconnectednetworkofbillionsofneuronswithatrillionofinterconnectionsbetweenthem. WhatistheDifferenceBetweenComputerandHumanBrain? ArtificialNeuralNetworks(ANN)andBiologicalNeuralNetworks(BNN)-Difference Characteristics ArtificialNeuralNetwork Biological(Real)NeuralNetwork Speed Fasterinprocessinginformation.Responsetimeisinnanoseconds. Slowerinprocessinginformation.Theresponsetimeisinmilliseconds. Processing Serialprocessing. Massivelyparallelprocessing. Size&Complexity Lesssize&complexity.Itdoesnotperformcomplexpatternrecognitiontasks. Ahighlycomplexanddensenetworkofinterconnectedneuronscontainingneuronsoftheorderof1011with1015ofinterconnections.