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Introduction to Computer Vision
Cezanne Camacho,
Alexis Cook,
and
Luis Serrano
Cezanne Camacho,
Alexis Cook,
and
Luis Serrano
Dive into Computer Vision with our comprehensive online training course. Explore image processing, AI applications, and more. Enroll now for in-depth learning.
Prerequisite details
Read more
Dive into Computer Vision with our comprehensive online training course. Explore image processing, AI applications, and more. Enroll now for in-depth learning.
Prerequisite details
Read more
Dive into Computer Vision with our comprehensive online training course. Explore image processing, AI applications, and more. Enroll now for in-depth learning.
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Object-oriented programming basics
- Intermediate Python
- Neural network basics
- Basic probability
- Deep learning framework proficiency
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/djixw3/introduction
What's inside
Syllabus
Welcome to the Computer Vision Nanodegree program!
Learn how images are represented numerically and implement image processing techniques, such as color masking and binary classification.
Read more
Syllabus
Welcome to the Computer Vision Nanodegree program!
Learn how images are represented numerically and implement image processing techniques, such as color masking and binary classification.
Read more
Learn about frequency in images and implement your own image filters for detecting edges and shapes in an image. Use a computer vision library to perform face detection.
Program a corner detector and learn techniques, like k-means clustering, for segmenting an image into unique parts.
Learn how to describe objects and images using feature vectors.
Define and train your own convolution neural network for clothing recognition. Use feature visualization techniques to see what a network has learned.
Apply your knowledge of image processing and deep learning to create a CNN for facial keypoint (eyes, mouth, nose, etc.) detection.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners in image processing and computer vision
Teaches essential image processing techniques used in industry
Develops skills in deep learning and neural networks for computer vision
Requires intermediate Python and neural network basics as prerequisites, which may be a barrier for some learners
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Activities
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Introduction to Computer Vision.
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Career center
Learners who complete Introduction to Computer Vision will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers design and implement computer vision solutions for a variety of applications, such as object recognition, facial recognition, and medical imaging. This course provides a comprehensive foundation in computer vision, covering topics such as image processing, AI applications, and neural networks. By taking this course, you will gain the skills necessary to enter or advance your career as a Computer Vision Engineer.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models for a variety of applications, including natural language processing, computer vision, and robotics. This course provides a strong foundation in machine learning, covering topics such as neural networks, deep learning, and reinforcement learning. By taking this course, you will gain the skills necessary to enter or advance your career as a Machine Learning Engineer.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. This course provides a strong foundation in data science, covering topics such as data mining, machine learning, and statistical analysis. By taking this course, you will gain the skills necessary to enter or advance your career as a Data Scientist.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work on a variety of projects, from small personal projects to large enterprise applications. This course provides a strong foundation in software engineering, covering topics such as object-oriented programming, data structures, and algorithms. By taking this course, you will gain the skills necessary to enter or advance your career as a Software Engineer.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, build, and maintain robots. They work on a variety of projects, from small personal robots to large industrial robots. This course provides a strong foundation in robotics, covering topics such as kinematics, dynamics, and control theory. By taking this course, you will gain the skills necessary to enter or advance your career as a Robotics Engineer.
Computer Graphics Engineer
Computer Graphics Engineer
Computer Graphics Engineers design and develop computer graphics software and hardware. They work on a variety of projects, from video games to medical imaging. This course provides a strong foundation in computer graphics, covering topics such as 3D modeling, animation, and rendering. By taking this course, you will gain the skills necessary to enter or advance your career as a Computer Graphics Engineer.
Game Developer
Game Developer
Game Developers design and develop video games. They work on a variety of projects, from small indie games to large AAA games. This course provides a strong foundation in game development, covering topics such as game design, programming, and art. By taking this course, you will gain the skills necessary to enter or advance your career as a Game Developer.
Web Developer
Web Developer
Web Developers design and develop websites. They work on a variety of projects, from small personal websites to large enterprise websites. This course provides a strong foundation in web development, covering topics such as HTML, CSS, and JavaScript. By taking this course, you will gain the skills necessary to enter or advance your career as a Web Developer.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They work on a variety of projects, from small personal projects to large enterprise projects. This course provides a strong foundation in data analysis, covering topics such as data mining, machine learning, and statistical analysis. By taking this course, you will gain the skills necessary to enter or advance your career as a Data Analyst.
Business Analyst
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. They work on a variety of projects, from small personal projects to large enterprise projects. This course provides a strong foundation in business analysis, covering topics such as process modeling, data analysis, and financial analysis. By taking this course, you will gain the skills necessary to enter or advance your career as a Business Analyst.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They work on a variety of projects, from small personal projects to large enterprise projects. This course provides a strong foundation in project management, covering topics such as project planning, scheduling, and budgeting. By taking this course, you will gain the skills necessary to enter or advance your career as a Project Manager.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. They work on a variety of projects, from small personal projects to large enterprise projects. This course may be helpful for those who want to enter or advance their career as a Technical Writer.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software and hardware products to ensure that they meet quality standards.
IT Support Specialist
IT Support Specialist
IT Support Specialists provide technical support to users of computers and other electronic devices.
Customer Service Representative
Customer Service Representative
Customer Service Representatives provide support to customers who have questions or complaints about products or services.
For more career information including salaries, visit:
OpenCourser.com/course/djixw3/introduction
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Computer Vision.
Save
Provides a comprehensive overview of computer vision algorithms and their applications. It covers a wide range of topics, including image processing, feature extraction, object recognition, and motion analysis. It valuable resource for both students and practitioners in the field of computer vision.
Provides a practical introduction to deep learning for computer vision. It covers a wide range of topics, including convolutional neural networks, object detection, and image segmentation. It valuable resource for both students and practitioners in the field of computer vision.
Provides a practical introduction to computer vision with Python. It covers a wide range of topics, including image processing, feature extraction, object recognition, and motion analysis. It valuable resource for both students and practitioners in the field of computer vision.
Provides a comprehensive overview of computer vision. It covers a wide range of topics, including image processing, feature extraction, object recognition, and motion analysis. It valuable resource for both students and practitioners in the field of computer vision.
Save
Provides a comprehensive reference guide to computer vision. It covers a wide range of topics, including image processing, feature extraction, object recognition, and motion analysis. It valuable resource for both students and practitioners in the field of computer vision.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/djixw3/introduction
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Effort
4 weeks
Via
Udacity
Instructors
Cezanne Camacho
Alexis Cook
Luis Serrano
Language
English
Good to know
Builds a strong foundation for beginners in image processing and computer vision
Teaches essential image processing techniques used in industry
Develops skills in deep learning and neural networks for computer vision
Requires intermediate Python and neural network basics as prerequisites, which may be a barrier for some learners
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