Beginner Lessons

Stanford CS236: Deep Generative Models I 2023 I Lecture 8 - Normalizing Flows

Stanford CS236: Deep Generative Models I 2023 I Lecture 7 - Normalizing Flows

Stanford CS236: Deep Generative Models I 2023 I Lecture 6 - VAEs

Stanford CS236: Deep Generative Models I 2023 I Lecture 5 - VAEs

Stanford CS236: Deep Generative Models I 2023 I Lecture 4 - Maximum Likelihood Learning

Stanford CS236: Deep Generative Models I 2023 I Lecture 3 - Autoregressive Models

Stanford CS236: Deep Generative Models I 2023 I Lecture 2 - Background

Stanford CS236: Deep Generative Models I 2023 I Lecture 1 - Introduction

Stanford CS25: V4 I Overview of Transformers

Stanford EE274: Data Compression I 2023 I Lecture 3 - Kraft Inequality, Entropy, Introduction to SCL

Stanford EE274: Data Compression I 2023 I Lecture 11 - Lossy Compression Basics; Quantization

Stanford EE274: Data Compression I 2023 I Lecture 1 - Course Intro, Lossless Data Compression Basics

Learn to code for free with Stanford's Code in Place | The Topics

Learn to code for free with Stanford's Code in Place | Why you should join

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 18

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 17

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 16

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 15

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 14

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 13

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 12

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 11

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 10

Course Overview: Change Management: Reskilling in the Age of Analytics and AI