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This course is a part of the Artificial Intelligence Nanodegree Program.
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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 Artificial Intelligence - Computer Vision with these
activities:
Review Linear Algebra
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Reviewing linear algebra will provide a strong foundation for understanding the mathematical concepts used in deep learning.
Browse courses on
Linear Algebra
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-
Review the basics of linear algebra, including vectors, matrices, and matrix operations.
-
Practice solving systems of linear equations.
-
Review the concept of eigenvectors and eigenvalues.
Read "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Show steps
This book provides a comprehensive overview of deep learning, covering the fundamental concepts, architectures, and applications.
View
Deep Learning
on Amazon
Show steps
-
Read the first three chapters to gain a foundational understanding of deep learning.
-
Read the chapters on convolutional neural networks and recurrent neural networks.
-
Complete the exercises and coding assignments in the book.
Write a blog post about a deep learning project
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Writing a blog post will help you solidify your understanding of deep learning and share your knowledge with others.
Show steps
-
Choose a deep learning project that you have worked on.
-
Write a blog post that describes the project, the challenges you faced, and the results you achieved.
-
Share your blog post on social media and with friends and colleagues.
Show all three activities
Review Linear Algebra
Show steps
Reviewing linear algebra will provide a strong foundation for understanding the mathematical concepts used in deep learning.
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Review the basics of linear algebra, including vectors, matrices, and matrix operations.
- Practice solving systems of linear equations.
- Review the concept of eigenvectors and eigenvalues.
Read "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Show steps
This book provides a comprehensive overview of deep learning, covering the fundamental concepts, architectures, and applications.
View
Deep Learning
on Amazon
Show steps
Show steps
Show steps
- Read the first three chapters to gain a foundational understanding of deep learning.
- Read the chapters on convolutional neural networks and recurrent neural networks.
- Complete the exercises and coding assignments in the book.
Write a blog post about a deep learning project
Show steps
Writing a blog post will help you solidify your understanding of deep learning and share your knowledge with others.
Show steps
Show steps
Show steps
- Choose a deep learning project that you have worked on.
- Write a blog post that describes the project, the challenges you faced, and the results you achieved.
- Share your blog post on social media and with friends and colleagues.
Show all three activities
Career center
Learners who complete Artificial Intelligence - Computer Vision will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop and maintain computer vision systems, which are used in a variety of applications, such as facial recognition, object detection, and medical imaging. This course is a perfect fit for Computer Vision Engineers because it will provide them with training in the fundamentals of computer vision.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models, which are used in a variety of applications, such as natural language processing, speech recognition, and image recognition. This course may be useful for Machine Learning Engineers because it will provide them with training in computer vision, a key skill for designing and developing machine learning models that can interact with their environment.
Business Analyst
Business Analyst
Business Analysts analyze business processes and systems to identify areas for improvement. This course may be useful for Business Analysts because it will provide them with training in computer vision, a key skill for analyzing business processes and systems that involve visual data.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve the efficiency of business operations. This course may be useful for Operations Research Analysts because it will provide them with training in computer vision, a key skill for analyzing business operations that involve visual data.
Software Engineer
Software Engineer
Software Engineers design, develop, maintain, and test software systems. This course may be useful for Software Engineers because it will provide them with training in computer vision, a key skill for developing software systems that can interact with their environment.
Product Manager
Product Manager
Product Managers are responsible for developing and managing the product lifecycle of a product, including planning, design, marketing, and sales. This course may be useful for Product Managers because it will provide them with training in computer vision, a key skill for developing products that can interact with their environment.
Professor
Professor
Professors teach and conduct research in a variety of fields, including computer science, engineering, and medicine. This course may be useful for Professors because it will provide them with training in computer vision, a key skill for conducting research and teaching in areas that involve visual data.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help people understand data. This course may be useful for Data Visualization Specialists because it will provide them with training in computer vision, a key skill for creating visual representations of data that involve visual data.
Technical Writer
Technical Writer
Technical Writers create and maintain documentation for technical products, such as software, hardware, and websites. This course may be useful for Technical Writers because it will provide them with training in computer vision, a key skill for creating and maintaining documentation for products that involve visual data.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, build, and test robots, which involves tasks such as designing hardware, writing software, and testing and evaluating robotic systems. This course may be useful for Robotics Engineers because it will provide them with training in computer vision, a key skill for designing and building robots that can interact with their environment.
Research Scientist
Research Scientist
Research Scientists conduct research in a variety of fields, including computer science, engineering, and medicine. This course may be useful for Research Scientists because it will provide them with training in computer vision, a key skill for conducting research in areas that involve visual data.
User Experience Designer
User Experience Designer
User Experience Designers design and develop user interfaces for products, including websites, mobile apps, and physical products. This course may be useful for User Experience Designers because it will provide them with training in computer vision, a key skill for designing user interfaces that are both visually appealing and easy to use.
Information Architect
Information Architect
Information Architects design and organize websites, intranets, and other information systems. This course may be useful for Information Architects because it will provide them with training in computer vision, a key skill for designing and organizing information systems that involve visual data.
Data Scientist
Data Scientist
Data Scientists analyze and interpret data to help businesses make informed decisions. This course may be useful for Data Scientists because it will provide them with training in computer vision, a key skill for analyzing and interpreting data that includes images.
User Researcher
User Researcher
User Researchers conduct research on users to understand their needs and motivations. This course may be useful for User Researchers because it will provide them with training in computer vision, a key skill for conducting research on users who interact with visual data.
For more career information including salaries, visit:
OpenCourser.com/course/dv4unu/udacity
Reading list
We've selected 13 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
Artificial Intelligence - Computer Vision.
Save
Is used as a textbook in Computer Vision courses at academic institutions. It provides a comprehensive overview of computer vision algorithms and techniques, and includes practical applications and case studies.
Provides a comprehensive overview of statistical learning. It covers a wide range of topics, from linear regression to support vector machines. This book valuable resource for anyone who wants to learn more about statistical learning.
Provides a comprehensive and up-to-date overview of computer vision. It covers the latest research and developments in the field, and includes numerous examples and exercises.
Provides a comprehensive overview of artificial intelligence. It covers a wide range of topics, from search and planning to natural language processing. This book valuable resource for anyone who wants to learn more about artificial intelligence.
Save
Provides a comprehensive overview of deep learning. It covers a wide range of topics, from convolutional neural networks to recurrent neural networks. This book valuable resource for anyone who wants to learn more about deep learning.
Provides a comprehensive overview of neural networks and deep learning. It covers a wide range of topics, from perceptrons to convolutional neural networks. This book valuable resource for anyone who wants to learn more about neural networks and deep learning.
Provides a comprehensive overview of machine learning for computer vision. It covers a wide range of topics, from image classification to object detection. This book valuable resource for anyone who wants to learn more about machine learning for computer vision.
Provides a comprehensive overview of computer vision. It covers a wide range of topics, from image formation to object recognition and tracking. This book valuable resource for anyone who wants to learn more about computer vision.
Save
Provides a comprehensive overview of pattern recognition and machine learning. It covers the latest research and developments in the field, and includes numerous examples and exercises.
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Provides a comprehensive overview of computer vision algorithms and applications using MATLAB. It covers a wide range of topics, from image processing to object recognition. This book valuable resource for anyone who wants to learn more about computer vision using MATLAB.
Provides a comprehensive overview of image processing and computer vision. It covers a wide range of topics, from image enhancement to object detection. This book valuable resource for anyone who wants to learn more about image processing and computer vision.
Provides a comprehensive overview of digital image processing. It covers the latest research and developments in the field, and includes numerous examples and exercises.
Save
Provides a comprehensive overview of machine vision. It covers the latest research and developments in the field, and includes numerous examples and exercises.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dv4unu/udacity
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Udacity
Good to know
Useful for those who are interested in artificial intelligence
Prerequisites and requirements are a good indicator of what a learner should already know before taking the course
Taught by Udacity's instructors, who are known for providing online education
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