DeepNeuralNetworks(DNNs)areaclassofmachinelearningmodelsinspiredbythestructureandfunctionofthehumanbrain.Theyconsistofmultiplelayersofinterconnectednodes,orneurons,whichprocessandtransforminputdatathroughaseriesofnonlinearoperations.Eachlayerextractsincreasinglycomplexfeaturesfromthedata,enablingthenetworktolearnhierarchicalrepresentations.DNNshaveachievedremarkablesuccessinvariousdomains,includingcomputervision,naturallanguageprocessing,andspeechrecognition,duetotheirabilitytomodelintricatepatternsandrelationshipsinlarge-scaledatasets.TrainingDNNstypicallyinvolvesoptimizingmillionsorevenbillionsofparametersusinggradient-basedmethodslikebackpropagation,oftenacceleratedbyspecializedhardwaresuchasGPUsorTPUs.
