Fei-Fei Li

Distinguished

Sequoia Professor of Computer Science, Stanford & Creator of ImageNet

Sequoia Professor of Computer Science at Stanford, Co-Director of Stanford HAI, and creator of ImageNet and CS231n.

Stanford University

1 course · 16 total lectures · 20h recorded

Co-taught withJustin JohnsonSerena YeungIan GoodfellowSong Han

AI & Machine Learning Computer Systems & Software

Courses by Fei-Fei Li

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Complete university lecture series taught by Fei-Fei Li.

Stanford CS231n: Convolutional Neural Networks for Visual Recognition

Stanford University · CS231n16 lectures · 20h

AI & ML·graduate

Convolutional Neural Networks for Visual Recognition

Fei-Fei Li, Justin Johnson & Serena Yeung·Stanford University

Linear classifiers, computational graphs, backpropagation, convolutional architectures, batch normalization, training dynamics, object detection, semantic segmentation, and generative visual models.

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Chapters · Duration

Detection and Segmentation

Detection and Segmentation

CS231n · Lec 11 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:14:26

Generative Models

Generative Models

CS231n · Lec 13 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:17:41

Recurrent Neural Networks

Recurrent Neural Networks

CS231n · Lec 10 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:13:09

Image Classification

Image Classification

CS231n · Lec 2 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

59:31

Deep Reinforcement Learning

Deep Reinforcement Learning

CS231n · Lec 14 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:04:01

CNN Architectures

CNN Architectures

CS231n · Lec 9 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:17:40

Loss Functions and Optimization

Loss Functions and Optimization

CS231n · Lec 3 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:14:40

Introduction to Neural Networks

Introduction to Neural Networks

CS231n · Lec 4 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:13:59

Introduction to Convolutional Neural Networks for Visual Recognition

Introduction to Convolutional Neural Networks for Visual Recognition

CS231n · Lec 1 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

57:56

Visualizing and Understanding

Visualizing and Understanding

CS231n · Lec 12 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:15:48

Convolutional Neural Networks

Convolutional Neural Networks

CS231n · Lec 5 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:08:56

Training Neural Networks I

Training Neural Networks I

CS231n · Lec 6 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:20:19

Training Neural Networks II

Training Neural Networks II

CS231n · Lec 7 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:15:30

Deep Learning Software

Deep Learning Software

CS231n · Lec 8 · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li, Justin Johnson & Serena Yeung Stanford University

1:18:07

Adversarial Examples and Adversarial Training

Adversarial Examples and Adversarial Training

CS231n · Lec 16 · Ian Goodfellow · Stanford University

Ian Goodfellow Stanford University

1:21:46

Efficient Methods and Hardware for Deep Learning

Efficient Methods and Hardware for Deep Learning

CS231n · Lec 15 · Song Han · Stanford University

Song Han Stanford University

1:16:52