https://github.com/sk-g/mnist_beginners

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
https://github.com/sk-g/mnist_beginners

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 2 months ago
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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

• Host: GitHub
• URL: https://github.com/sk-g/mnist_beginners
• Owner: sk-g
• Created: 2018-04-08T09:08:01.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-04-24T21:08:30.000Z (over 7 years ago)
• Last Synced: 2025-04-03T11:46:30.948Z (6 months ago)
• Topics: keras, machine-learning, machine-learning-algorithms, mnist, mnist-beginners, mnist-classification, mnist-dataset, numpy, overfitting, python, pytorch, pytorch-implmention, resnet, resnet-50, scikit-learn, scikitlearn-machine-learning, sklearn, tensorflow
• Language: Python
• Homepage:
• Size: 20.9 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
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