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MNIST Number Recognition: Supervised Machine Deep Learning
Artificial intelligence that recognizes hand-written numbers zero to nine using a neural network, learned from the Modified National Institute of Standards and Technology (MNIST) database, and adds them to a calculator.
Supervised learning is a machine learning paradigm for problems where the available data consists of labeled examples, meaning that each data point contains features (covariates) and an associated label. The goal of supervised learning algorithms is learning a function that maps feature vectors (inputs) to labels (output), based on example input-output pairs.
See the code behind this.
Draw a single digit from 0 to 9 and submit it to see if the computer can recognize it. Your hand-written numbers are saved and will be used to train the artificial intelligence.
The hand-written numbers can then be added, subtracted, multiplied and divided using the calculator below.
0 to 9
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