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pythoncode-tutorials/machine-learning/image-classifier at master · CSULA-CS/pythoncode-tutorials · GitHub

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To run this:

  • pip3 install -r requirements.txt
  • First, you need to train the model using python train.py
  • Edit the code in test.py for you optimal model weights in results folder ( currently does not because you need to train first ) and run:
    python test.py
    
    Output:
    10000/10000 [==============================] - 3s 331us/step
    Test accuracy: 81.17999999999999 %
    frog
    

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