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Deep Learning for Computer Vision
by Fei-Fei Li · Stanford Online
4.8(2,800 reviews)
250K+ enrolled10 weeksUpdated 2024-04
What You'll Learn
Understand the fundamentals and key concepts of computer vision
Apply computer vision techniques to solve real-world problems
Understand the fundamentals and key concepts of CNNs
Apply CNNs techniques to solve real-world problems
Understand the fundamentals and key concepts of image classification
Apply image classification techniques to solve real-world problems
About This Course
Stanford's computer vision course covering image classification, object detection, and generative models with CNNs.
Curriculum
Module 1: Computer vision & CNNs6 lessons
- Introduction to computer vision
- Computer vision in Practice
- Hands-on Exercise: Computer vision
- Introduction to CNNs
- CNNs in Practice
- Hands-on Exercise: CNNs
Module 2: Image classification & Object detection6 lessons
- Introduction to image classification
- Image classification in Practice
- Hands-on Exercise: Image classification
- Introduction to object detection
- Object detection in Practice
- Hands-on Exercise: Object detection
Module 3: Generative models3 lessons
- Introduction to generative models
- Generative models in Practice
- Hands-on Exercise: Generative models
Instructor
Fei-Fei Li
Instructor at Stanford Online
Pros & Cons
Pros
- Highly rated by students
- Completely free to access
- High-quality video lectures
- Taught by Fei-Fei Li
Cons
- No certificate provided
- Requires significant prior knowledge
- Self-paced requires discipline
Free
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