Handwriting Recognition
Handwriting recognition is a special case of image classification. It is often used as an introductory example to learn about how a computer can learn to "see" and recognize concepts in images.
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Handwriting recognition is a special case of image classification. It is often used as an introductory example to learn about how a computer can learn to "see" and recognize concepts in images.
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A common task for AI is handwriting recognition. This is a special task in the broader field of computer vision. Using this example, we try to understand how a computer can learn to "see".
Computers using machine learning algorithms have surpassed human performance in image classification and are now widely used for many tasks.
To a computer, an image is a large list of numbers. The task is to learn the patterns that relate to concepts we want to recognize in an image.
To teach a computer to recognize handwritten digits, we need many examples (training data) with the correct answers (label).
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