Ejemplos de NeuralNet.activationFunction en Python

Ejemplo n.º 1

	def activationTest(self):
		nn = NeuralNet()

		data = np.array([[1,0,0,0], [1,1,1,0], [1,0,0,0], [1,0,0,0], [1,0,0,1]])
		kernel = np.array([[1,0,-1], [2,0,-2], [1,0,-1]])
		output = nn.convolve(data, kernel)

		expectedRelu = np.array([[2,2], [3,1], [4,0]])
		expectedBin = np.array([[1,1], [1,1], [1,0]])
		expectedSigmoid = np.array([[0.119,0.119], [0.047,0.269], [0.0180,0.731]])
		expectedTanH = np.array([[0.964,0.964], [0.995,0.762], [0.999,-0.762]])
		expected = np.array([[-1,0], [-3,-11], [-5,-17]])

		reluOutput = nn.activationFunction(output, 'relu')
		binOutput = nn.activationFunction(output, 'binary')
		sigmoidOutput = nn.activationFunction(output, 'sigmoid')
		tanhOutput = nn.activationFunction(output, 'tanh')

		for index, value in np.ndenumerate(sigmoidOutput): sigmoidOutput[index] = round(value, 3)
		for index, value in np.ndenumerate(tanhOutput): tanhOutput[index] = round(value, 3)

		if not UnitTests.arrayIsSame(reluOutput, expectedRelu):
			print "Relu activationFunction test failed."
			print "Expected:"
			print expectedRelu
			print "Actual:"
			print reluOutput
			return False
		if not UnitTests.arrayIsSame(binOutput, expectedBin):
			print "Binary activationFunction test failed."
			print "Expected:"
			print expectedBin
			print "Actual:"
			print binOutput
			return False
		if not UnitTests.arrayIsSame(sigmoidOutput, expectedSigmoid):
			print "Sigmoid activationFunction test failed."
			print "Expected:"
			print expectedSigmoid
			print "Actual:"
			print sigmoidOutput
			return False
		if not UnitTests.arrayIsSame(tanhOutput, expectedTanH):
			print "tanh activationFunction test failed."
			print "Expected:"
			print expectedTanH
			print "Actual:"
			print tanhOutput
			return False

		return True