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# %pylab inline

from classy import *

images=image.load_images('/Users/bblais/Desktop/ai373/google/students/Michael_Andrejco/Sprint_5/Data')

data=image.images_to_vectors(images)

C=NumPyNetBackProp({
    'input':4800,               # number of features
    'output':(2,'linear'),  # number of classes
    'cost':'mse',
})

C.fit(data.vectors,data.targets)





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