Generative Models
Build GANs, VAEs, and understand diffusion model architecture.
0%
Confidence · no data yet
After this skill you can…
- Train a GAN on image data
- Explain the ELBO in VAEs
- Describe the forward and reverse diffusion process
Prerequisites
Watch (10 videos)
12. Generative Adversarial Networks (GANs) Explained, DCGAN, CycleGAN, StyleGAN with Latest Concepts
→ Build GANs→ Implement DCGAN→ Use StyleGAN
Generative Adversarial Network Simplified #artificialintelligence #machinelearning #deeplearning
→ Generate realistic images→ Generate realistic music→ Understand GAN architecture
Generative AI Course Full course -10 hours [2026] | Gen AI Tutorial for Beginners | Edureka Live
→ Use generative models for data generation→ Implement variational autoencoders→ Use generative adversarial networks
Generative AI Architect Roadmap 2026 | How to become Generative AI Architect ? #shorts #simplilearn
→ Build and evaluate generative models→ Optimize diffusion models
TensorFlow: Advanced Techniques Specialization
→ Create generative deep learning models→ Use Style Transfer, Auto Encoding, VAEs, and GANs
Lec 16. Generative Models: Conditional Models
→ Build conditional generative models→ Apply cGANs and cVAEs to image and text generation tasks→ Use conditional diffusion models for paired and unpaired translation
Lec 15. Generative Models: Representation Learning Meets Generative Modeling
→ Build generative models→ Apply representation learning→ Use VAEs for data generation
Generative AI Trends in 2026 | Top 10 Generative AI Trends Shaping 2026 | Edureka
→ Design generative AI models→ Develop multimodal AI applications→ Evaluate the effectiveness of generative AI
3 Generative Models Explained in Azure
→ Train GANs→ Deploy diffusion models→ Use autoregressive models for time series forecasting
Lec 14. Generative Models: Basics
→ Understand Generative Models→ Implement GANs→ Apply Autoregressive Models
DeepCamp AI