DeeplearningisoneofthemostpopulardomainsintheAIspace,allowingyoutodevelopmulti-layeredmodelsofvaryingcomplexities.Thisbookintroducesyoutopopulardeeplearningalgorithms—frombasictoadvanced—andshowsyouhowtoimplementthemfromscratchusingTensorFlow.Throughoutthebook,youwillgaininsightsintoeachalgorithm,themathematicalprinciplesbehindit,andhowtoimplementitinthebestpossiblemanner.Thebookstartsbyexplaininghowyoucanbuildyourownneuralnetworks,followedbyintroducingyoutoTensorFlow,thepowerfulPython-basedlibraryformachinelearninganddeeplearning.Movingon,youwillgetuptospeedwithgradientdescentvariants,suchasNAG,AMSGrad,AdaDelta,Adam,andNadam.ThebookwillthenprovideyouwithinsightsintoRNNsandLSTMandhowtogeneratesonglyricswithRNN.Next,youwillmasterthemathforconvolutionalandcapsulenetworks,widelyusedforimagerecognitiontasks.ThenyoulearnhowmachinesunderstandthesemanticsofwordsanddocumentsusingCBOW,skip-gram,andPV-DM.Afterward,youwillexplorevariousGANs,includingInfoGANandLSGAN,andautoencoders,suchascontractiveautoencodersandVAE.Bytheendofthisbook,youwillbeequippedwithalltheskillsyouneedtoimplementdeeplearninginyourownprojects.