Generative Deep Learning：Teaching Machines to Paint, Write, Compose and Play

Generativemodelingisoneofthehottesttopicsinartificialintelligence.Recentadvancesinthefieldhaveshownhowit’spossibletoteachamachinetoexcelathumanendeavors—suchasdrawing,composingmusic,andcompletingtasks—bygeneratinganunderstandingofhowitsactionsaffectitsenvironment.Withthispracticalbook,machinelearningengineersanddatascientistswilllearnhowtorecreatesomeofthemostfamousexamplesofgenerativedeeplearningmodels,suchasvariationalautoencodersandgenerativeadversarialnetworks(GANs).You’llalsolearnhowtoapplythetechniquestoyourowndatasets.DavidFoster,cofounderofAppliedDataScience,demonstratestheinnerworkingsofeachtechnique,startingwiththebasicsofdeeplearningbeforeadvancingtothemostcutting-edgealgorithmsinthefield.Throughtipsandtricks,you’lllearnhowtomakeyourmodelslearnmoreefficientlyandbecomemorecreative.GetafundamentaloverviewofdeeplearningLearnaboutlibrariessuchasKerasandTensorFlowDiscoverhowvariationalautoencodersworkGetpracticalexamplesofgenerativeadversarialnetworks(GANs)UnderstandhowautoregressivegenerativemodelsfunctionApplygenerativemodelswithinareinforcementlearningsettingtoaccomplishtasks