YoVDO

Deep Generative Modeling

Offered By: Alexander Amini via YouTube

Tags

Generative Adversarial Networks (GAN) Courses Autoencoders Courses Variational Autoencoders Courses Latent Variable Models Courses

Course Description

Overview

Explore deep generative modeling in this comprehensive lecture from MIT's Introduction to Deep Learning course. Delve into latent variable models, autoencoders, and variational autoencoders, including the reparameterization trick and latent perturbation. Discover how VAEs can be used for debiasing, and learn about generative adversarial networks (GANs), their intuitions, and recent advances. Gain valuable insights into the importance and applications of deep generative modeling in machine learning and artificial intelligence.

Syllabus

- Introduction
- Why do we care?
- Latent variable models
- Autoencoders
- Variational autoencoders
- Reparameterization trick
- Latent pertubation
- Debiasing with VAEs
- Generative adversarial networks
- Intuitions behind GANs
- GANs: Recent advances
- Summary


Taught by

https://www.youtube.com/@AAmini/videos

Tags

Related Courses

Build Basic Generative Adversarial Networks (GANs)
DeepLearning.AI via Coursera
Build Better Generative Adversarial Networks (GANs)
DeepLearning.AI via Coursera
Apply Generative Adversarial Networks (GANs)
DeepLearning.AI via Coursera
Generative Adversarial Networks (GANs)
DeepLearning.AI via Coursera
TensorFlow: Advanced Techniques
DeepLearning.AI via Coursera