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 - 8h 11m.
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 - 8h 11m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Monday, 08 January 2024. Copyright - © 2024 Et Tu Code ©.
Language:
English
Opening Credits
Duration:01:42:07
Preface
Duration:10:31:50
Part 1 Gen AI
Duration:00:15:07
Introduction to generative ai
Duration:05:29:52
History of generative ai
Duration:04:25:55
Types of generative models
Duration:04:06:04
Types of generative models variational autoencoders (vaes)
Duration:04:43:07
Types of generative models generative adversarial networks (gans)
Duration:06:20:38
Types of generative models other generative models
Duration:05:55:09
Training and fine tuning generative models
Duration:05:33:00
Detailed math behind generative ai
Duration:05:23:57
Detailed math behind generative ai probability distributions
Duration:06:13:45
Detailed math behind generative ai linear algebra in generative models
Duration:04:37:19
Detailed math behind generative ai optimization techniques
Duration:06:28:33
Detailed math behind generative ai advanced mathematics in gans
Duration:05:59:48
Research papers behind generative ai
Duration:05:17:50
Research papers behind generative ai gans: generative adversarial networks
Duration:04:58:04
Research papers behind generative ai vaes: variational autoencoders
Duration:05:41:55
Research papers behind generative ai recent breakthroughs
Duration:06:11:33
Generative ai tools and frameworks tensorflow for generative ai
Duration:05:34:50
Part 2 code
Duration:00:15:04
Introduction to code generation ai
Duration:04:59:43
Programming language agnosticism
Duration:04:44:04
How code generation models work
Duration:04:50:00
How code generation models work transformer architecture
Duration:02:55:19
How code generation models work training data and pre processing
Duration:03:00:24
How code generation models work fine tuning for code
Duration:04:02:45
How code generation models work natural language understanding
Duration:03:25:43
How code generation models work context aware code suggestions
Duration:03:18:16
How code generation models work handling ambiguity and errors
Duration:05:00:02
Creating your own code generation model
Duration:03:59:52
Creating your own code generation model define project scope and objectives
Duration:03:09:33
Creating your own code generation model collect and prepare training data
Duration:05:22:48
Creating your own code generation model choose a deep learning framework
Duration:03:33:33
Creating your own code generation model design the model architecture
Duration:04:42:52
Creating your own code generation model implement the model
Duration:04:26:57
Creating your own code generation model train the model
Duration:05:31:48
Creating your own code generation model test and validate the model
Duration:04:10:19
Creating your own code generation model integrate the model into your workflow
Duration:05:31:33
Optimizing code quality and performance
Duration:03:50:48
Machine learning for code generation
Duration:05:37:57
Deep learning in code synthesis
Duration:05:23:57
Code generation for different paradigms
Duration:03:20:31
Github copilot: revolutionizing code writing
Duration:03:43:45
Github copilot: revolutionizing code writing autocomplete suggestions
Duration:02:26:16
Github copilot: revolutionizing code writing context aware code completions
Duration:03:18:09
Github copilot: revolutionizing code writing multilingual support
Duration:02:53:31
Github copilot: revolutionizing code writing code comment generation
Duration:04:48:26
Github copilot: revolutionizing code writing custom code snippet creation
Duration:03:21:16
Github copilot: revolutionizing code writing code refactoring assistance
Duration:02:22:21
Github copilot: revolutionizing code writing intelligent error handling
Duration:02:15:28
Github copilot: revolutionizing code writing integration with ides and editors
Duration:04:06:00
Popular code generation models
Duration:03:43:07
Popular code generation models openai codex
Duration:03:33:31
Popular code generation models codebert
Duration:03:00:55
Popular code generation models tabnine
Duration:03:14:38
Popular code generation models kite copilot
Duration:03:12:38
Part 3 image
Duration:00:15:28
Introduction to image generation ai
Duration:06:15:31
Foundations of image generation
Duration:05:16:36
Foundations of image generation understanding neural networks for image generation
Duration:04:34:33
Foundations of image generation training strategies for image generation models
Duration:05:18:02
Generative adversarial networks (gans)
Duration:05:01:04
Variational autoencoders (vaes)
Duration:04:16:40
Conditional image generation
Duration:06:57:36
Transfer learning for image generation
Duration:05:06:16
5 popular ai ml research papers on image generation
Duration:06:04:07
5 popular ai ml research papers on image generation 1 generative adversarial nets (gans)
Duration:04:26:31
5 popular ai ml research papers on image generation 2 progressive growing of gans for improved quality, stability, and variation
Duration:06:03:04
5 popular ai ml research papers on image generation 3 stylegan: a style based generator architecture for generative adversarial networks
Duration:05:16:19
5 popular ai ml research papers on image generation 5 cyclegan: unpaired image to image translation using cycle consistent adversarial networks
Duration:04:31:14
Creating an image generation model from scratch
Duration:03:29:57
Creating an image generation model from scratch step 1: define the problem statement
Duration:03:39:28
Creating an image generation model from scratch step 2: data collection and preprocessing
Duration:04:44:45
Creating an image generation model from scratch step 3: choose an architecture
Duration:05:32:16
Creating an image generation model from scratch step 4: build and train the model
Duration:03:57:28
Creating an image generation model from scratch step 5: evaluate model performance
Duration:03:28:48
Creating an image generation model from scratch step 6: fine tuning and optimization
Duration:04:09:48
Creating an image generation model from scratch step 7: deployment and integration
Duration:06:28:19
Creating an image generation model from scratch step 8: continuous improvement
Duration:05:41:00
Popular image generation models
Duration:03:53:52
Popular image generation models generative adversarial networks (gans)
Duration:04:45:02
Popular image generation models variational autoencoders (vaes)
Duration:05:23:50
Popular image generation models pixelcnn and pixelrnn
Duration:05:16:19
Popular image generation models cyclegan
Duration:04:19:24
Popular image generation models biggan
Duration:03:59:21
Popular image generation models stylegan and stylegan2
Duration:05:08:36
Popular image generation models clip and image generation
Duration:04:53:48
Dall e: openai's image generation model
Duration:04:28:19
Dall e: openai's image generation model dall e architecture
Duration:04:20:19
Dall e: openai's image generation model creative image synthesis
Duration:03:33:14
Dall e: openai's image generation model applications of dall e
Duration:05:13:40
Dall e: openai's image generation model training and fine tuning
Duration:04:35:26
Dall e: openai's image generation model challenges and future directions
Duration:04:12:48
Introduction to speech generation ai
Duration:04:40:50
Fundamentals of speech synthesis
Duration:05:30:50
Fundamentals of speech synthesis voice cloning
Duration:04:07:43
Speech generation models
Duration:03:25:14
Speech generation models generative adversarial networks (gans)
Duration:04:23:50
Understanding the mechanics of speech generation ai
Duration:04:20:04
Understanding the mechanics of speech generation ai text to speech (tts) architecture
Duration:03:56:24
Understanding the mechanics of speech generation ai training data and corpora
Duration:03:27:09
Understanding the mechanics of speech generation ai prosody modeling
Duration:06:31:19
Understanding the mechanics of speech generation ai emotional and expressive synthesis
Duration:04:52:19
Understanding the mechanics of speech generation ai real time processing and latency reduction
Duration:04:44:33
Understanding the mechanics of speech generation ai fine tuning and customization
Duration:02:58:33
Popular audio generation models
Duration:05:50:40
Popular audio generation models wavenet
Duration:03:57:14
Popular audio generation models tacotron
Duration:03:59:40
Popular audio generation models gpt based audio generation
Duration:04:02:02
Popular audio generation models melgan
Duration:03:34:19
Popular audio generation models hifi gan
Duration:03:44:24
Openai whisper speech api
Duration:04:09:16
Openai whisper speech api automatic speech recognition (asr)
Duration:02:39:16
Openai whisper speech api text to speech (tts)
Duration:03:02:43
Openai whisper speech api voice cloning
Duration:03:33:14
Openai whisper speech api language support
Duration:02:39:04
Openai whisper speech api customization and integration
Duration:02:53:50
Openai whisper speech api use cases and applications
Duration:06:16:40
Generating your own voice with speech ai
Duration:04:12:26
Generating your own voice with speech ai voice recording and dataset creation
Duration:03:00:52
Generating your own voice with speech ai customizing the model architecture
Duration:03:45:40
Generating your own voice with speech ai validation and iterative refinement
Duration:02:22:57
Generating your own voice with speech ai integration into applications
Duration:04:23:50
Generating your own voice with speech ai ethical considerations
Duration:02:34:19
Glossary
Duration:03:15:57
Bibliography
Duration:09:55:07
Ending Credits
Duration:01:55:48