Computer Vision Tutorial - Image Processing - Convolution Neural Network
Offered By: Great Learning via YouTube
Course Description
Overview
This Computer Vision Tutorial will introduce you Computer Vision and take you deep into concepts and practical implementation of the subject. Computer Vision is the ability of machine to have sight or a vision. It is the process of recording recording and playing back light fragments. It helps solve problems where you connect digital world to physical world. This video is a perfect started for people who are curious about Computer Vision.
Syllabus
Introduction To Computer Vision .
Sampling Data and Convolution Neural Network .
What is Computer Vision and Filters .
Where To use Image Processing .
What are Pixels? .
Convolution and Correlation 00: .
Case Study .
CNN .
Pooling and Padding .
CNN Architecture .
20.
Demo .
Taught by
Great Learning
Related Courses
Passion Driven StatisticsWesleyan University via Coursera Corporate Finance Essentials
IESE Business School via Coursera Intro to Inferential Statistics
San Jose State University via Udacity Descriptive Statistics
University of Amsterdam via Coursera 医学统计学与SPSS软件(基础篇)
Peking University via Coursera