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tarunlnmiit/perceptron_grad.py

Created August 18, 2020 19:18
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perceptron_grad.py
def calculateGradient(W, X, Y, f_x, learningRate):
gradient = (Y - f_x) * X
gradient = np.sum(gradient, axis=0)
# gradient = np.array([float("{0:.4f}".format(val)) for val in gradient])
temp = np.array(learningRate * gradient).reshape(W.shape)
W = W + temp
return gradient, W.astype(float)
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