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210718s2021 nyua o 001 0 eng d |
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|a YDX
|b eng
|e rda
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|d GW5XE
|d EBLCP
|d OCLCO
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|d OCLCO
|d OCLCL
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| 019 |
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|a 1261366770
|a 1266809974
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| 020 |
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|a 9781484270929
|q (electronic bk.)
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|a 1484270924
|q (electronic bk.)
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|z 9781484270912
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|z 1484270916
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| 024 |
7 |
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|a 10.1007/978-1-4842-7092-9
|2 doi
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| 035 |
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|a (OCoLC)1260401348
|z (OCoLC)1261366770
|z (OCoLC)1266809974
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| 037 |
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|b Springer
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| 050 |
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|a QA76.624
|b .L36 2021
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| 072 |
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|a COM004000
|2 bisacsh
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Lanham, Micheal,
|e author.
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| 245 |
1 |
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|a Generating a new reality :
|b from autoencoders and adversarial networks to deepfakes /
|c Micheal Lanham.
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| 264 |
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1 |
|a New York :
|b Apress,
|c [2021]
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| 264 |
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|c ©2021
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| 300 |
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|a 1 online resource (xvii, 321 pages) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
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| 347 |
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|b PDF
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| 500 |
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|a Includes index.
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|a The 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.
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|a The 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.
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|a Print version record.
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| 650 |
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|a Generative programming (Computer science)
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| 650 |
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|a Computer graphics.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a computer graphics.
|2 aat
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|a artificial intelligence.
|2 aat
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| 650 |
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|a Artificial intelligence
|2 fast
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| 650 |
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|a Computer graphics
|2 fast
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| 650 |
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|a Generative programming (Computer science)
|2 fast
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| 758 |
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|i has work:
|a Generating a new reality (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFM7d3gkYGQGX9jvdwcfpX
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Lanham, Micheal.
|t Generating a new reality.
|d New York : Apress, 2021
|z 9781484270912
|w (OCoLC)1259522634
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-1-4842-7092-9
|y Click for online access
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| 903 |
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|a SPRING-COMPUTING2021
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| 994 |
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|a 92
|b HCD
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