Deep Generative Models Courses and Certifications

Stanford CS236 - Deep Generative Models I 2023

Master probabilistic foundations and algorithms for deep generative models including VAEs, GANs, normalizing flows, and diffusion models with applications across AI domains.

• YouTube
• 23 hours 38 minutes
• On-Demand
• Free Video

Stanford CS236 - Deep Generative Models - Lecture 1: Introduction

Explore deep generative models with Stanford's Prof. Ermon. Learn key concepts, applications, and cutting-edge techniques in this comprehensive introduction to a rapidly evolving field of AI.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Deep Generative Models - Discrete Latent Variable Models - Lecture 17

Explore discrete latent variable models in deep generative modeling, covering key concepts and applications in AI and machine learning.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Stanford CS236: Deep Generative Models - Lecture 13 - Score Based Models

Explore score-based models in deep generative modeling, covering theoretical foundations and practical applications in this advanced Stanford lecture on AI and machine learning.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Stanford CS236: Deep Generative Models - Score Based Diffusion Models - Lecture 16

Explore score-based diffusion models in deep generative modeling, covering theoretical foundations and practical applications in AI and machine learning.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Deep Generative Models - Maximum Likelihood Learning - Lecture 4

Explore maximum likelihood learning in deep generative models with Stanford's Stefano Ermon. Gain insights into advanced AI techniques and their applications in this comprehensive lecture.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Video

Deep Generative Models - Lecture 2: Background

Explore fundamental concepts and background for deep generative models, covering essential topics to build a strong foundation in this advanced machine learning field.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Deep Generative Models - Normalizing Flows - Lecture 9

Explore normalizing flows in deep generative models, focusing on their principles, applications, and recent advancements in this Stanford lecture by Prof. Stefano Ermon.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Evaluation of Generative Models - Stanford CS236 Deep Generative Models Lecture 15

Explore evaluation methods for deep generative models, including metrics and techniques to assess model performance, quality, and effectiveness in various applications.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Stanford CS236: Deep Generative Models - Lecture 7 - Normalizing Flows

Explore normalizing flows in deep generative models with Stanford's Stefano Ermon. Learn advanced techniques for creating flexible and expressive probability distributions in machine learning.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

MITCBMM

Deep Generative Models for Speech and Images

Explore deep learning's power in generating sounds and images, focusing on unsupervised learning and multiple levels of abstraction for advanced AI applications.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Neural SDEs - Deep Generative Models in the Diffusion Limit - Maxim Raginsky

Explore deep generative models through stochastic control, diffusion limits, and neural nets. Learn about efficient sampling, expressiveness quantification, and unbiased simulation techniques.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Lennart Svensson

Deep Generative Models and Stable Diffusion: Revolution in Visual Synthesis - Lecture by Björn Ommer

Explore deep generative models, focusing on diffusion models and Stable Diffusion. Learn about visual synthesis advancements, efficiency improvements, and future developments in this cutting-edge field.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Computational Genomics Summer Institute CGSI

Deep Generative Models in Medicine - CGSI 2023

Explore deep generative models in medicine, covering robustness, interpretability, missing data, language models, and diffusion techniques for improved medical applications and research.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Probabilistic AI School

Introduction to Deep Generative Models

Explore deep generative models, their applications, and underlying principles in this comprehensive introduction by Jes Frellen at the Nordic Probabilistic AI School.

• YouTube
• 2 hours
• On-Demand
• Free Video