Code, Image & Speech Gen AI
Et Tu Code
Dive into the cutting-edge world of Generative AI with Code, Image & Speech Gen AI, a comprehensive guide that unravels the intricate landscape of code, image, and speech generation using artificial intelligence. Authored by experts in the field, this book takes you on a journey from the fundamentals to advanced applications, providing a deep understanding of the underlying technologies and methodologies.
Key Chapters:
Introduction to Generative AI:Mathematics Behind Generative AI:Code Generation AI:Image Generation AI:Speech Generation AI:
Duration - 9h 19m.
Author - Et Tu Code.
Narrator - Helen Green.
Published Date - Monday, 08 January 2024.
Copyright - © 2024 Et Tu Code ©.
Location:
United States
Description:
Dive into the cutting-edge world of Generative AI with Code, Image & Speech Gen AI, a comprehensive guide that unravels the intricate landscape of code, image, and speech generation using artificial intelligence. Authored by experts in the field, this book takes you on a journey from the fundamentals to advanced applications, providing a deep understanding of the underlying technologies and methodologies. Key Chapters: Introduction to Generative AI:Mathematics Behind Generative AI:Code Generation AI:Image Generation AI:Speech Generation AI: Duration - 9h 19m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Monday, 08 January 2024. Copyright - © 2024 Et Tu Code ©.
Language:
English
Opening Credits
Duración:00:01:42
Preface
Duración:00:10:31
Part 1 Gen AI
Duración:00:00:15
Introduction to generative ai
Duración:00:05:29
History of generative ai
Duración:00:04:25
Types of generative models
Duración:00:04:06
Types of generative models variational autoencoders (vaes)
Duración:00:04:43
Types of generative models generative adversarial networks (gans)
Duración:00:06:20
Types of generative models other generative models
Duración:00:05:55
Training and fine tuning generative models
Duración:00:05:33
Detailed math behind generative ai
Duración:00:05:23
Detailed math behind generative ai probability distributions
Duración:00:06:13
Detailed math behind generative ai linear algebra in generative models
Duración:00:04:37
Detailed math behind generative ai optimization techniques
Duración:00:06:28
Detailed math behind generative ai advanced mathematics in gans
Duración:00:05:59
Research papers behind generative ai
Duración:00:05:17
Research papers behind generative ai gans: generative adversarial networks
Duración:00:04:58
Research papers behind generative ai vaes: variational autoencoders
Duración:00:05:41
Research papers behind generative ai recent breakthroughs
Duración:00:06:11
Generative ai tools and frameworks tensorflow for generative ai
Duración:00:05:34
Part 2 code
Duración:00:00:15
Introduction to code generation ai
Duración:00:04:59
Programming language agnosticism
Duración:00:04:44
How code generation models work
Duración:00:04:50
How code generation models work transformer architecture
Duración:00:02:55
How code generation models work training data and pre processing
Duración:00:03:00
How code generation models work fine tuning for code
Duración:00:04:02
How code generation models work natural language understanding
Duración:00:03:25
How code generation models work context aware code suggestions
Duración:00:03:18
How code generation models work handling ambiguity and errors
Duración:00:05:00
Creating your own code generation model
Duración:00:03:59
Creating your own code generation model define project scope and objectives
Duración:00:03:09
Creating your own code generation model collect and prepare training data
Duración:00:05:22
Creating your own code generation model choose a deep learning framework
Duración:00:03:33
Creating your own code generation model design the model architecture
Duración:00:04:42
Creating your own code generation model implement the model
Duración:00:04:26
Creating your own code generation model train the model
Duración:00:05:31
Creating your own code generation model test and validate the model
Duración:00:04:10
Creating your own code generation model integrate the model into your workflow
Duración:00:05:31
Optimizing code quality and performance
Duración:00:03:50
Machine learning for code generation
Duración:00:05:37
Deep learning in code synthesis
Duración:00:05:23
Code generation for different paradigms
Duración:00:03:20
Github copilot: revolutionizing code writing
Duración:00:03:43
Github copilot: revolutionizing code writing autocomplete suggestions
Duración:00:02:26
Github copilot: revolutionizing code writing context aware code completions
Duración:00:03:18
Github copilot: revolutionizing code writing multilingual support
Duración:00:02:53
Github copilot: revolutionizing code writing code comment generation
Duración:00:04:48
Github copilot: revolutionizing code writing custom code snippet creation
Duración:00:03:21
Github copilot: revolutionizing code writing code refactoring assistance
Duración:00:02:22
Github copilot: revolutionizing code writing intelligent error handling
Duración:00:02:15
Github copilot: revolutionizing code writing integration with ides and editors
Duración:00:04:06
Popular code generation models
Duración:00:03:43
Popular code generation models openai codex
Duración:00:03:33
Popular code generation models codebert
Duración:00:03:00
Popular code generation models tabnine
Duración:00:03:14
Popular code generation models kite copilot
Duración:00:03:12
Part 3 image
Duración:00:00:15
Introduction to image generation ai
Duración:00:06:15
Foundations of image generation
Duración:00:05:16
Foundations of image generation understanding neural networks for image generation
Duración:00:04:34
Foundations of image generation training strategies for image generation models
Duración:00:05:18
Generative adversarial networks (gans)
Duración:00:05:01
Variational autoencoders (vaes)
Duración:00:04:16
Conditional image generation
Duración:00:06:57
Transfer learning for image generation
Duración:00:05:06
5 popular ai ml research papers on image generation
Duración:00:06:04
5 popular ai ml research papers on image generation 1 generative adversarial nets (gans)
Duración:00:04:26
5 popular ai ml research papers on image generation 2 progressive growing of gans for improved quality, stability, and variation
Duración:00:06:03
5 popular ai ml research papers on image generation 3 stylegan: a style based generator architecture for generative adversarial networks
Duración:00:05:16
5 popular ai ml research papers on image generation 5 cyclegan: unpaired image to image translation using cycle consistent adversarial networks
Duración:00:04:31
Creating an image generation model from scratch
Duración:00:03:29
Creating an image generation model from scratch step 1: define the problem statement
Duración:00:03:39
Creating an image generation model from scratch step 2: data collection and preprocessing
Duración:00:04:44
Creating an image generation model from scratch step 3: choose an architecture
Duración:00:05:32
Creating an image generation model from scratch step 4: build and train the model
Duración:00:03:57
Creating an image generation model from scratch step 5: evaluate model performance
Duración:00:03:28
Creating an image generation model from scratch step 6: fine tuning and optimization
Duración:00:04:09
Creating an image generation model from scratch step 7: deployment and integration
Duración:00:06:28
Creating an image generation model from scratch step 8: continuous improvement
Duración:00:05:41
Popular image generation models
Duración:00:03:53
Popular image generation models generative adversarial networks (gans)
Duración:00:04:45
Popular image generation models variational autoencoders (vaes)
Duración:00:05:23
Popular image generation models pixelcnn and pixelrnn
Duración:00:05:16
Popular image generation models cyclegan
Duración:00:04:19
Popular image generation models biggan
Duración:00:03:59
Popular image generation models stylegan and stylegan2
Duración:00:05:08
Popular image generation models clip and image generation
Duración:00:04:53
Dall e: openai's image generation model
Duración:00:04:28
Dall e: openai's image generation model dall e architecture
Duración:00:04:20
Dall e: openai's image generation model creative image synthesis
Duración:00:03:33
Dall e: openai's image generation model applications of dall e
Duración:00:05:13
Dall e: openai's image generation model training and fine tuning
Duración:00:04:35
Dall e: openai's image generation model challenges and future directions
Duración:00:04:12
Introduction to speech generation ai
Duración:00:04:40
Fundamentals of speech synthesis
Duración:00:05:30
Fundamentals of speech synthesis voice cloning
Duración:00:04:07
Speech generation models
Duración:00:03:25
Speech generation models generative adversarial networks (gans)
Duración:00:04:23
Understanding the mechanics of speech generation ai
Duración:00:04:20
Understanding the mechanics of speech generation ai text to speech (tts) architecture
Duración:00:03:56
Understanding the mechanics of speech generation ai training data and corpora
Duración:00:03:27
Understanding the mechanics of speech generation ai prosody modeling
Duración:00:06:31
Understanding the mechanics of speech generation ai emotional and expressive synthesis
Duración:00:04:52
Understanding the mechanics of speech generation ai real time processing and latency reduction
Duración:00:04:44
Understanding the mechanics of speech generation ai fine tuning and customization
Duración:00:02:58
Popular audio generation models
Duración:00:05:50
Popular audio generation models wavenet
Duración:00:03:57
Popular audio generation models tacotron
Duración:00:03:59
Popular audio generation models gpt based audio generation
Duración:00:04:02
Popular audio generation models melgan
Duración:00:03:34
Popular audio generation models hifi gan
Duración:00:03:44
Openai whisper speech api
Duración:00:04:09
Openai whisper speech api automatic speech recognition (asr)
Duración:00:02:39
Openai whisper speech api text to speech (tts)
Duración:00:03:02
Openai whisper speech api voice cloning
Duración:00:03:33
Openai whisper speech api language support
Duración:00:02:39
Openai whisper speech api customization and integration
Duración:00:02:53
Openai whisper speech api use cases and applications
Duración:00:06:16
Generating your own voice with speech ai
Duración:00:04:12
Generating your own voice with speech ai voice recording and dataset creation
Duración:00:03:00
Generating your own voice with speech ai customizing the model architecture
Duración:00:03:45
Generating your own voice with speech ai validation and iterative refinement
Duración:00:02:22
Generating your own voice with speech ai integration into applications
Duración:00:04:23
Generating your own voice with speech ai ethical considerations
Duración:00:02:34
Glossary
Duración:00:03:15
Bibliography
Duración:00:09:55
Ending Credits
Duración:00:01:55