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Questions and Answers
What is the main difference between machine learning and computer vision?
What is the main difference between machine learning and computer vision?
- Machine learning focuses on making machines act like a person, while computer vision seeks to imitate the great capabilities of the human's visual world (correct)
- Machine learning focuses on how to make machines act like a person, while computer vision seeks to imitate the great capabilities of the human's auditory system.
- Machine learning focuses on how to make machines act like a computer, while computer vision seeks to imitate the great capabilities of the human's visual world
- Machine learning focuses on how to make machines act like a computer, while computer vision seeks to imitate the great capabilities of the human's auditory system.
What is a challenge that comes with comparing the perception of human beings to NN when creating a computer vision model?
What is a challenge that comes with comparing the perception of human beings to NN when creating a computer vision model?
- Machines view images as numbers that symbolize standalone pixels, which makes it difficult for machines to examine large data size (correct)
- Machines view images as complex shapes, which makes it difficult for machines to examine large data size
- Machines view images as complex shapes, which makes it difficult for machines to analyze the data
- Machines view images as numbers that symbolize standalone pixels, which makes it difficult for machines to analyze the data
What is a great challenge when engaging machines in compound visual tasks?
What is a great challenge when engaging machines in compound visual tasks?
- Machines view images as numbers that symbolize standalone pixels, which makes it difficult for machines to examine large data size
- Machines view images as complex shapes, which makes it difficult for machines to examine large data size (correct)
- Machines view images as complex shapes, which makes it difficult for machines to analyze the data
- Machines view images as numbers that symbolize standalone pixels, which makes it difficult for machines to analyze the data
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Study Notes
- Machine learning and computer vision are two aspects of AI that utilize intelligent algorithms to discover, examine, and process patterns from visual information.
- Machine learning technology focuses on how to make machines learn and act like a person, while computer vision seeks to imitate the great capabilities of the human's visual world.
- Computer vision is harder than machine learning because of the challenge that comes with comparing the perception of human beings to NN.
- CV aims to come up with autonomous systems that can carry out similar tasks that a person's visual system can carry out and even supersede them in many ways, but it is a complex system and not easy to achieve.
- Machines view images as numbers that symbolize standalone pixels, which makes it difficult for machines to examine large data size when creating a computer vision model. Additionally, engaging machines in compound visual tasks is a great challenge.
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