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NN_from_scratch_MNIST

A NN implementation based on the MNIST dataset for Handwritten number recognition including a GUI build-arround.

Usage:

  • Unpack Training and testing data into a folde /data
  • Run start.py and use further commands:

You can work with this model from the command line. The following command are available:

  • "create 'number of neurons in hidden'" : create a new model
  • "load pre" : loads pre trained weights for the model
  • "train 'number of epochs'" : train the model based on the MNSIT dataset
  • "evaluate" : Run the model on the MNIST test data
  • "save" : Save your weights as txt files.
  • "load own": loads previously saved weights for the model
  • "draw" : opens a canvas to draw and submit numbers to the model
  • "quit" : close the program