Here we’ll learn:
Generative AI – Home
FAQs on Generative AI
Basics of Generative AI
Evolution of Generative AI
ML and Generative AI
Discriminative vs Generative Models
Types of Generative Models
The Role of Probability Distribution in Generative Models
The Role of Probability Density Functions in Generative AI Models
Generative AI Models – Maximum Likelihood Estimation
MLE in Generative Modeling
How do Generative Adversarial Networks (GAN) Work?
Generative Adversarial Network – Architecture and Types
Conditional Generative Adversarial Networks (cGAN)
CycleGAN and StyleGAN
Training a Generative Adversarial Network (GANs)
Generative Adversarial Networks Applications
Transformers in Generative AI
Architecture of Transformers in Generative AI
Input Embeddings in Transformers
Multi-Head Attention in Transformers
Positional Encoding in Transformer Models
Feed Forward Neural Network in Transformers
Normalization and Residual Connections
Autoencoders in Generative AI
Autoencoders Types and Applications
Implement Autoencoders Using Python
Generative AI – Variational Autoencoders
ChatGPT A Generative AI Model
Generative AI in Manufacturing
Gen AI For Developers
Generative AI for Cybersecurity
Generative AI for Software Testing
Generative AI for Marketing
Generative AI for Educators
Generative AI for Healthcare
Generative AI for Students
Generative AI for Industry
Generative AI for Movies
Generative AI for Music
Generative AI for Cooking
Generative AI for Media
Generative AI for Communications
Generative AI for Photography
