Read and process CIFAR10 dataset, implement SVM and Softmax classifiers, train , and also tune up hyper parameters.
python runSvmSoftmax.py
Best validation accuracy: 39.7
Best Model parameter, lr = 6e-07, reg = 18000
Training acc: 37.5938%
Validating acc: 39.7%
Testing acc: 36.76%
Best validation accuracy: 38.1
Best Model parameter, lr = 8e-07, reg = 12000
Training acc: 37.86938775510204%
Validating acc: 38.1%
Testing acc: 36.68%
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