Handwritten digit recognition refers to the ability of a computer or artificial intelligence system to identify and classify handwritten digits accurately. This task is a fundamental problem in the field of machine learning and computer vision. Handwritten digit recognition involves training a model using a large dataset of handwritten digits that are labeled with their corresponding numerical values. The model learns to extract meaningful features and patterns from the data and uses them to predict the correct digit when given to unseen handwritten digits. The applications of handwritten digit recognition are vast, such as in automated postal sorting, bank check digit recognition, and even recognizing handwritten digits in medical forms.
This mind map was published on 20 August 2023 and has been viewed 102 times.