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Implementation and comparison of SVM and LeNet5 on MNIST

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MNIST with SVM and CNNs

We try to solve MNIST using SVM (scikit-learn) and CNNs (Pytorch). "The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image." - Professor Yann LeCun.

Running Code

All code can be run through the jupyter notebooks in src/. Run jupyter notebook and open src/svm.ipynb and src/cnn.ipynb and click the Run buttons to execute the code. Reports have been generated in the root directory as svm.pdf and cnn.pdf.

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Implementation and comparison of SVM and LeNet5 on MNIST

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