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Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

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simple starter code to play around with MNIST data.

Requires: numpy sklearn tensorflow keras keras_resnet (optional) xgboost pytorch (optional)

Will add:

CNTK starter code

Benchmarking CNTK,TensorFlow and PyTorch

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Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

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