YouTube Courses

Improving Computational Efficiency for Powered Descent Guidance - Stanford Seminar

Transformer-based approach improves computational efficiency for spacecraft powered descent guidance, reducing solution times and enabling advanced autonomy for future space missions.

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

Deep Generative Models - Autoregressive Models - Lecture 3

Explore autoregressive models in deep learning, focusing on their architecture, training, and applications in generating sequential data like text and images.

• YouTube
• 1 hour 21 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

Deep Generative Models - Lecture 5: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this comprehensive Stanford lecture.

• YouTube
• 1 hour 21 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 - Diffusion Models for Discrete Data - Lecture 18

Explore diffusion models for discrete data in this Stanford lecture, covering advanced techniques in deep generative modeling for AI applications.

• YouTube
• 1 hour
• 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 - Energy Based Models - Lecture 12

Explore energy-based models in deep learning, their applications, and theoretical foundations. Gain insights into this powerful approach for modeling complex data distributions.

• YouTube
• 1 hour 23 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

Deep Generative Models - Lecture 10: GANs

Explore Generative Adversarial Networks (GANs) in deep learning, covering their architecture, training process, and applications in image generation and beyond.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

Deep Generative Models - Energy Based Models - Lecture 14

Explore energy-based models in deep learning, their applications, and theoretical foundations. Gain insights from Stanford's expert on advanced generative modeling techniques.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Deep Generative Models - Lecture 8: GANs

Explore Generative Adversarial Networks (GANs) in deep learning, covering their architecture, training process, and applications in image generation and beyond.

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

Deep Generative Models - Lecture 6: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this Stanford lecture by Prof. Stefano Ermon.

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