Deepfake Synthetic AI
Et Tu Code
Delve into the fascinating world of deepfake synthetic AI with this comprehensive guide. From its inception to its ethical and legal implications, this book offers a thorough exploration of the deepfake phenomenon.
In "Deepfake Synthetic AI," readers will embark on a journey through the history of deepfake technology, from its early developments to the emergence of deep learning and its application in creating synthetic content. Explore the various synthesis techniques employed, including AutoEncoder Networks, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers.
Discover the tools and technologies required to develop deepfakes, including neural networks, hardware acceleration, and specialized software tools. Learn about the common applications of deepfake technology, ranging from entertainment to misinformation and privacy concerns.
The audiobook also provides insights into recognizing and detecting deepfake content, along with mitigation strategies. With step-by-step instructions, readers will learn how to create deepfakes from scratch using Python, from data collection to evaluation.
With a glossary, bibliography, and appendix included, "Deepfake Synthetic AI" serves as a comprehensive resource for researchers, policymakers, and anyone interested in understanding the intricacies of this rapidly evolving technology.
Embark on a journey through the world of deepfake synthetic AI and uncover its profound implications on society and beyond.
Duration - 1h 12m.
Author - Et Tu Code.
Narrator - Helen Green.
Published Date - Monday, 08 January 2024.
Copyright - © 2024 Et Tu Code ©.
Location:
United States
Description:
Delve into the fascinating world of deepfake synthetic AI with this comprehensive guide. From its inception to its ethical and legal implications, this book offers a thorough exploration of the deepfake phenomenon. In "Deepfake Synthetic AI," readers will embark on a journey through the history of deepfake technology, from its early developments to the emergence of deep learning and its application in creating synthetic content. Explore the various synthesis techniques employed, including AutoEncoder Networks, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers. Discover the tools and technologies required to develop deepfakes, including neural networks, hardware acceleration, and specialized software tools. Learn about the common applications of deepfake technology, ranging from entertainment to misinformation and privacy concerns. The audiobook also provides insights into recognizing and detecting deepfake content, along with mitigation strategies. With step-by-step instructions, readers will learn how to create deepfakes from scratch using Python, from data collection to evaluation. With a glossary, bibliography, and appendix included, "Deepfake Synthetic AI" serves as a comprehensive resource for researchers, policymakers, and anyone interested in understanding the intricacies of this rapidly evolving technology. Embark on a journey through the world of deepfake synthetic AI and uncover its profound implications on society and beyond. Duration - 1h 12m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Monday, 08 January 2024. Copyright - © 2024 Et Tu Code ©.
Language:
English
Opening Credits
Duration:01:56:33
Preface
Duration:02:22:45
Introduction to deepfake synthetic ai
Duration:03:22:57
Introduction to deepfake synthetic ai overview of deepfake technology
Duration:05:01:19
Introduction to deepfake synthetic ai ethical and legal implications
Duration:04:11:40
History of deepfake ai
Duration:02:36:12
History of deepfake ai early developments
Duration:04:40:31
History of deepfake ai emergence of deep learning
Duration:05:32:52
History of deepfake ai rise of deepfake applications
Duration:04:50:16
History of deepfake ai ethical and legal concerns
Duration:04:12:04
Creating deepfake content
Duration:02:08:28
Creating deepfake content data collection and preprocessing
Duration:03:53:04
Creating deepfake content model training
Duration:05:17:50
Creating deepfake content synthesis techniques
Duration:05:40:50
Popular models for deepfake synthetic content
Duration:04:22:40
Popular models for deepfake synthetic content autoencoder networks
Duration:05:43:50
Popular models for deepfake synthetic content generative adversarial networks (gans)
Duration:03:55:31
Popular models for deepfake synthetic content variational autoencoders (vaes)
Duration:06:14:07
Popular models for deepfake synthetic content transformers
Duration:04:53:28
Recognizing deepfake or synthetic data
Duration:03:53:24
Recognizing deepfake or synthetic data artifact analysis
Duration:04:32:31
Recognizing deepfake or synthetic data forensic analysis
Duration:04:34:50
Recognizing deepfake or synthetic data machine learning models
Duration:03:41:00
Recognizing deepfake or synthetic data blockchain and digital watermarking
Duration:05:00:48
Detection and mitigation
Duration:03:38:50
Detection and mitigation deepfake detection
Duration:04:37:02
Detection and mitigation countermeasures
Duration:04:11:50
How do deepfakes work?
Duration:03:40:04
How do deepfakes work? face replacement
Duration:05:41:00
How do deepfakes work? audio synthesis
Duration:04:37:45
How do deepfakes work? data training
Duration:04:54:14
Technology required to develop deepfakes
Duration:03:03:38
Technology required to develop deepfakes neural networks
Duration:05:38:31
Technology required to develop deepfakes hardware acceleration
Duration:06:16:45
Technology required to develop deepfakes software tools
Duration:04:39:04
How are deepfakes commonly used?
Duration:02:50:38
How are deepfakes commonly used? entertainment
Duration:03:19:00
How are deepfakes commonly used? misinformation
Duration:03:49:52
How are deepfakes commonly used? privacy concerns
Duration:03:50:31
How to defend against deepfakes
Duration:03:17:40
How to defend against deepfakes detection algorithms
Duration:04:58:40
How to defend against deepfakes legislation and regulations
Duration:04:42:38
How to defend against deepfakes education and awareness
Duration:03:38:31
Steps to create a deepfake from scratch using python
Duration:03:27:38
Steps to create a deepfake from scratch using python step 1: data collection
Duration:09:09:14
Steps to create a deepfake from scratch using python step 2: preprocessing
Duration:06:09:26
Steps to create a deepfake from scratch using python step 3: model training
Duration:10:04:02
Steps to create a deepfake from scratch using python step 4: post processing
Duration:05:43:52
Steps to create a deepfake from scratch using python step 5: evaluation
Duration:04:49:09
Notable examples of deepfakes
Duration:02:15:31
Notable examples of deepfakes political figures
Duration:04:45:14
Notable examples of deepfakes celebrities
Duration:04:33:38
Notable examples of deepfakes social media challenges
Duration:03:56:36
Applications of deepfake synthetic ai
Duration:02:18:36
Applications of deepfake synthetic ai entertainment industry
Duration:04:03:31
Applications of deepfake synthetic ai marketing and advertising
Duration:07:10:50
Applications of deepfake synthetic ai forensic analysis
Duration:04:15:14
Popular tools for creating deepfakes
Duration:03:06:19
Popular tools for creating deepfakes deepfacelab
Duration:05:17:38
Popular tools for creating deepfakes faceswap
Duration:04:48:26
Popular tools for creating deepfakes deep art
Duration:03:21:26
Popular tools for creating deepfakes reface
Duration:03:45:31
Popular tools for detecting deepfakes
Duration:02:37:48
Popular tools for detecting deepfakes deepware scanner
Duration:04:13:50
Popular tools for detecting deepfakes deepware truth
Duration:03:51:07
Popular tools for detecting deepfakes reality defender
Duration:04:08:26
Popular tools for detecting deepfakes sensity ai
Duration:03:53:55
Future trends and challenges
Duration:04:04:50
Future trends and challenges advancements in technology
Duration:05:57:26
Future trends and challenges ethical considerations
Duration:06:07:00
Deepfake regulation and policy
Duration:02:30:04
Deepfake regulation and policy current regulatory landscape
Duration:03:14:36
Deepfake regulation and policy proposed regulations
Duration:04:48:16
Glossary
Duration:04:24:21
Bibliography
Duration:08:09:12
Ending Credits
Duration:02:04:19