001438266 000__ 03622cam\a2200577\i\4500
001438266 001__ 1438266
001438266 003__ OCoLC
001438266 005__ 20230309004256.0
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001438266 008__ 210718s2021\\\\nyua\\\\o\\\\\001\0\eng\d
001438266 019__ $$a1261366770$$a1266809974
001438266 020__ $$a9781484270929$$q(electronic bk.)
001438266 020__ $$a1484270924$$q(electronic bk.)
001438266 020__ $$z9781484270912
001438266 020__ $$z1484270916
001438266 0247_ $$a10.1007/978-1-4842-7092-9$$2doi
001438266 035__ $$aSP(OCoLC)1260401348
001438266 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dDCT$$dN$T$$dWAU$$dUKAHL$$dOCLCQ$$dOCLCO$$dUPM$$dOCLCQ
001438266 049__ $$aISEA
001438266 050_4 $$aQA76.624$$b.L36 2021
001438266 08204 $$a005.1/1$$223
001438266 1001_ $$aLanham, Micheal,$$eauthor.
001438266 24510 $$aGenerating a new reality :$$bfrom autoencoders and adversarial networks to deepfakes /$$cMicheal Lanham.
001438266 264_1 $$aNew York :$$bApress,$$c[2021]
001438266 264_4 $$c©2021
001438266 300__ $$a1 online resource (xvii, 321 pages) :$$billustrations
001438266 336__ $$atext$$btxt$$2rdacontent
001438266 337__ $$acomputer$$bc$$2rdamedia
001438266 338__ $$aonline resource$$bcr$$2rdacarrier
001438266 347__ $$atext file
001438266 347__ $$bPDF
001438266 500__ $$aIncludes index.
001438266 5050_ $$aThe basics of deep learning -- Unleashing generative modeling -- Exploring the latent space -- GANs, GANs, and more GANs -- Image to image content generation -- Residual network GANs -- Attention is all we need -- Advanced generators -- Deepfakes and face swapping -- Cracking deepfakes -- Appendix A: Running Google Colab locally -- Appendix B: Opening a Notebook -- Appendix C: Connecting Google Drive and saving.
001438266 506__ $$aAccess limited to authorized users.
001438266 520__ $$aThe emergence of artificial intelligence (AI) has brought us to the precipice of a new age where we struggle to understand what is real, from advanced CGI in movies to even faking the news. AI that was developed to understand our reality is now being used to create its own reality. In this book we look at the many AI techniques capable of generating new realities. We start with the basics of deep learning. Then we move on to autoencoders and generative adversarial networks (GANs). We explore variations of GAN to generate content. The book ends with an in-depth look at the most popular generator projects. By the end of this book you will understand the AI techniques used to generate different forms of content. You will be able to use these techniques for your own amusement or professional career to both impress and educate others around you and give you the ability to transform your own reality into something new. You will: Know the fundamentals of content generation from autoencoders to generative adversarial networks (GANs) Explore variations of GAN Understand the basics of other forms of content generation Use advanced projects such as Faceswap, deepfakes, DeOldify, and StyleGAN2.
001438266 588__ $$aDescription based on print version record.
001438266 650_0 $$aGenerative programming (Computer science)
001438266 650_0 $$aComputer graphics.
001438266 650_0 $$aArtificial intelligence.
001438266 650_6 $$aProgrammation générative.
001438266 650_6 $$aInfographie.
001438266 650_6 $$aIntelligence artificielle.
001438266 655_0 $$aElectronic books.
001438266 77608 $$iPrint version:$$aLanham, Micheal.$$tGenerating a new reality.$$dNew York : Apress, 2021$$z9781484270912$$w(OCoLC)1259522634
001438266 852__ $$bebk
001438266 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-7092-9$$zOnline Access$$91397441.1
001438266 909CO $$ooai:library.usi.edu:1438266$$pGLOBAL_SET
001438266 980__ $$aBIB
001438266 980__ $$aEBOOK
001438266 982__ $$aEbook
001438266 983__ $$aOnline
001438266 994__ $$a92$$bISE