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An implementation of binary classification for distinguishing between the digits 0/1 and 8/9. Cost function minimization was applied using Gradient Descent and the Exact Newton methods.

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azoulais/MNIST-Classification-logistic-regression-OPTI-ASS3

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MNIST-Classification-logistic-regression-OPTI-ASS3

An implementation of binary classification for distinguishing between the digits 0/1 and 8/9. We have minimized our cost function using the Gradient Descent and the Exact Newton methods. Step size for these methods was chosen using the Armijo linesearch algorithm.

This work was given as part of an assignment in the course "Optimization Methods and Applications"(Spring 2021).


MNIST dataset(4 files) can be downloaded here: http://yann.lecun.com/exdb/mnist/

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An implementation of binary classification for distinguishing between the digits 0/1 and 8/9. Cost function minimization was applied using Gradient Descent and the Exact Newton methods.

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