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MNIST dataset
The MNIST dataset has a training set of 60,000 examples, and a test set of 10,000 examples of handwritten digits. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image
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Logistic Regression
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Stochastic
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Batch
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Neural Network
Method Batch Stochastic Neural Network Train Accurary 0.937 0.960 0.995 Test Accurary 0.942 0.954 0.991
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Neural Network
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Conventional Neural Network
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Low Level API
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High Level API
Method NN CNN Low API CNN high API Train Accurary 0.966 0.989 0.989 Test Accurary 0.967 1.000 0.989 -