Magho / hand-writting-detection

This notebook uses Credit card transsition data to determine if the transition is valid or not

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Project Description

This notebook uses the famoust mnist data set to train a model predcting hand written digits

used data set

mnist data set

packages used

  • numpy
  • matplotlib
  • cv2
  • sys
  • tempfile
  • klearn
  • tensorflow

Algorithms used

  • support vector classifier
  • Tensorflow Softmax Digit Recognition with GradientDescentOptimizer
  • CNN model with 2 layers of (conv, pool), 2 fully connected layer and a dropout layer

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This notebook uses Credit card transsition data to determine if the transition is valid or not

License:MIT License


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