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By using the MNIST dataset, a well-known collection of handwritten numbers, the calculator could identify digits in just 18 seconds. If you want to learn how, check out his full video on it here.
Handwriting recognition is a classic machine learning challenge within Optical Character Recognition (OCR). It has seen substantial advancements over the years, notably with Yann LeCun’s 1998 LeNet-5 ...
In the field of handwriting recognition, the MNIST database is commonly used to train networks on handwritten numerals. After [Evan Pu] mentioned it would be fun to use this data to create a clock ...
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