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Hand Written Digits Recognition

Training different types of Neural Networks in order to achieve as higher as possible accuracy on the MNIST image classification problem.


  • Feed Forward Neural Network: test accuracy up to 98%,
  • Convolutional Neural Network: test accuracy of 98.8%,
  • Ensemble of Convolutional Neural Networks with the same structures: test accuracy up to 99.09%,
  • Ensemble of Convolutional Neural Networks with different structures: test accuracy up to 99.12%.