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LeNet5/readme.txt

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Benchmarking the performance of the following methods on the MNIST dataset:
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Momentum
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Adam
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KFAC
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Fisher type preconditioner (square root version)
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Newton type preconditioner
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For each method, we train it with ten epochs, anneal its learning rate from lr to 0.01*lr,
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and tune its hyperparameters to optimize its test classification error rate.

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