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Introduction to Computer Vision

Instructor: Tom Yeh

What you'll learn

Understand the fundamental principles and algorithms of classical computer vision.

Apply deep learning models to various computer vision tasks.

Evaluate and implement computer vision solutions for real-world applications.

Skills you'll gain

Probability Distribution

Image Analysis

Computer Vision

Computer Graphics

Deep Learning

Data Ethics

Linear Algebra

Artificial Intelligence

Computational Thinking

Data Processing

There are 4 modules in this course

This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degree offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: https://coursera.org/degrees/ms-computer-science-boulder.

Week 2

Week 3

Week 4

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