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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
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
About
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