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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
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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
Save this course
Save Introduction to Computer Vision to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Computer Vision with these
activities:
Identify a mentor in the field of computer vision
Show steps
Connect with an experienced computer vision professional to gain insights, guidance, and support throughout your learning journey.
Browse courses on
Mentorship
Show steps
-
Attend industry events or join online communities to connect with potential mentors.
-
Reach out to individuals whose work or experience aligns with your interests.
-
Build a mutually beneficial relationship by seeking advice and offering support in return.
Join a study group for computer vision
Show steps
Collaborate with peers to enhance your understanding of course concepts and reinforce your learning through discussions and problem-solving.
Browse courses on
Collaboration
Show steps
-
Join or create a study group with other students enrolled in the course.
-
Meet regularly to discuss course materials, share insights, and work on assignments.
-
Participate actively in group discussions and contribute to a collaborative learning environment.
Review basic programming concepts
Show steps
Strengthen your foundation in programming concepts to ensure a smooth transition into the computer vision curriculum.
Browse courses on
Programming Fundamentals
Show steps
-
Revisit materials from previous programming courses or online resources.
-
Practice writing simple programs to reinforce basic concepts.
-
Review code examples and explanations to enhance your understanding.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Practice image manipulation tasks
Show steps
Practice image manipulation to solidify understanding of image processing techniques.
Show steps
-
Load an image into a program.
-
Crop the image to a specific region.
-
Adjust the brightness and contrast of the image.
-
Convert the image to grayscale.
-
Save the modified image to a file.
Create a visual guide to image processing
Show steps
Consolidate your understanding of image processing by creating a visual guide that explains key concepts and techniques.
Browse courses on
Image Processing
Show steps
-
Gather the necessary information and resources on image processing.
-
Design a visual guide that effectively conveys the concepts.
-
Create the visual guide using appropriate tools or software.
Attend a workshop on deep learning for computer vision
Show steps
Deepen your understanding of deep learning techniques specifically applied to computer vision tasks through hands-on workshops.
Show steps
-
Identify workshops that cover deep learning for computer vision.
-
Register and attend the workshop.
-
Actively participate in hands-on exercises and discussions.
Solve image processing practice problems
Show steps
Practice applying image processing techniques to different types of images to solidify your understanding of fundamental concepts.
Browse courses on
Image Processing
Show steps
-
Find a set of practice problems or exercises online or in a textbook.
-
Implement solutions to the problems using the image processing techniques covered in the course.
-
Test your solutions against the provided solutions or expected outcomes.
Develop a presentation on a specific computer vision technique
Show steps
Summarize and present your understanding of a specific computer vision technique to consolidate your knowledge and improve your communication skills.
Browse courses on
Presentations
Show steps
-
Choose a specific computer vision technique to focus on.
-
Research the technique, gather information, and develop a clear presentation outline.
-
Craft a visually appealing and informative presentation using appropriate presentation software.
Follow tutorials on advanced computer vision techniques
Show steps
Explore advanced computer vision techniques beyond those covered in the course to expand your knowledge and skills.
Browse courses on
Convolutional Neural Networks
Show steps
-
Identify specific computer vision techniques that you want to learn more about.
-
Find tutorials or online courses that cover these techniques.
-
Follow the tutorials and complete the exercises or projects provided.
Build a face detection application
Show steps
Apply your knowledge of computer vision to develop a practical application that solves a real-world problem.
Browse courses on
Face Detection
Show steps
-
Design and plan the architecture of the face detection application.
-
Implement the application using appropriate libraries and algorithms.
-
Test and evaluate the accuracy and performance of the application.
Identify a mentor in the field of computer vision
Show steps
Connect with an experienced computer vision professional to gain insights, guidance, and support throughout your learning journey.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Attend industry events or join online communities to connect with potential mentors.
- Reach out to individuals whose work or experience aligns with your interests.
- Build a mutually beneficial relationship by seeking advice and offering support in return.
Join a study group for computer vision
Show steps
Collaborate with peers to enhance your understanding of course concepts and reinforce your learning through discussions and problem-solving.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Join or create a study group with other students enrolled in the course.
- Meet regularly to discuss course materials, share insights, and work on assignments.
- Participate actively in group discussions and contribute to a collaborative learning environment.
Review basic programming concepts
Show steps
Strengthen your foundation in programming concepts to ensure a smooth transition into the computer vision curriculum.
Browse courses on
Programming Fundamentals
Show steps
Show steps
Show steps
- Revisit materials from previous programming courses or online resources.
- Practice writing simple programs to reinforce basic concepts.
- Review code examples and explanations to enhance your understanding.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Practice image manipulation tasks
Show steps
Practice image manipulation to solidify understanding of image processing techniques.
Show steps
Show steps
Show steps
- Load an image into a program.
- Crop the image to a specific region.
- Adjust the brightness and contrast of the image.
- Convert the image to grayscale.
- Save the modified image to a file.
Create a visual guide to image processing
Show steps
Consolidate your understanding of image processing by creating a visual guide that explains key concepts and techniques.
Browse courses on
Image Processing
Show steps
Show steps
Show steps
- Gather the necessary information and resources on image processing.
- Design a visual guide that effectively conveys the concepts.
- Create the visual guide using appropriate tools or software.
Attend a workshop on deep learning for computer vision
Show steps
Deepen your understanding of deep learning techniques specifically applied to computer vision tasks through hands-on workshops.
Show steps
Show steps
Show steps
- Identify workshops that cover deep learning for computer vision.
- Register and attend the workshop.
- Actively participate in hands-on exercises and discussions.
Solve image processing practice problems
Show steps
Practice applying image processing techniques to different types of images to solidify your understanding of fundamental concepts.
Browse courses on
Image Processing
Show steps
Show steps
Show steps
- Find a set of practice problems or exercises online or in a textbook.
- Implement solutions to the problems using the image processing techniques covered in the course.
- Test your solutions against the provided solutions or expected outcomes.
Develop a presentation on a specific computer vision technique
Show steps
Summarize and present your understanding of a specific computer vision technique to consolidate your knowledge and improve your communication skills.
Browse courses on
Presentations
Show steps
Show steps
Show steps
- Choose a specific computer vision technique to focus on.
- Research the technique, gather information, and develop a clear presentation outline.
- Craft a visually appealing and informative presentation using appropriate presentation software.
Follow tutorials on advanced computer vision techniques
Show steps
Explore advanced computer vision techniques beyond those covered in the course to expand your knowledge and skills.
Browse courses on
Convolutional Neural Networks
Show steps
Show steps
Show steps
- Identify specific computer vision techniques that you want to learn more about.
- Find tutorials or online courses that cover these techniques.
- Follow the tutorials and complete the exercises or projects provided.
Build a face detection application
Show steps
Apply your knowledge of computer vision to develop a practical application that solves a real-world problem.
Browse courses on
Face Detection
Show steps
Show steps
Show steps
- Design and plan the architecture of the face detection application.
- Implement the application using appropriate libraries and algorithms.
- Test and evaluate the accuracy and performance of the application.
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
Share
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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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