def Perceptron(ls, cost) :
	i = ML.Input(28*28, name = 'inp')
	o = ML.SoftmaxClassifier(10, learningScenario = ls, costObject = cost, name = "out", regularizations = [ MR.L1(0), MR.L2(0) ] )

	return o > i
dataset/ETHPy150Open tariqdaouda/Mariana/Mariana/examples/vanilla_mnist_perceptron_mlp.py/Perceptron/swapped operands of `>`