Neuralnetworksplayaveryimportantroleindeeplearningandartificialintelligence(AI),withapplicationsinawidevarietyofdomains,rightfrommedicaldiagnosis,tofinancialforecasting,andevenmachinediagnostics.Hands-OnNeuralNetworksisdesignedtoguideyouthroughlearningaboutneuralnetworksinapracticalway.Thebookwillgetyoustartedbygivingyouabriefintroductiontoperceptronnetworks.YouwillthengaininsightsintomachinelearningandalsounderstandwhatthefutureofAIcouldlooklike.Next,youwillstudyhowembeddingscanbeusedtoprocesstextualdataandtheroleoflongshort-termmemorynetworks(LSTMs)inhelpingyousolvecommonnaturallanguageprocessing(NLP)problems.Thelaterchapterswilldemonstratehowyoucanimplementadvancedconceptsincludingtransferlearning,generativeadversarialnetworks(GANs),autoencoders,andreinforcementlearning.Finally,youcanlookforwardtofurthercontentonthelatestadvancementsinthefieldofneuralnetworks.Bytheendofthisbook,youwillhavetheskillsyouneedtobuild,train,andoptimizeyourownneuralnetworkmodelthatcanbeusedtoprovidepredictablesolutions.