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vamc-stash/nn-step3.py

Last active May 15, 2020 10:14
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nn-step3.py
def compute_loss(loss_func, A, Y,i):
m = Y.shape[0]
A = A.flatten()
if loss_func == "binary_crossentropy":
cost = (-(Y*np.log(A))-((1-Y)*np.log(1-A)))
cost = np.sum(cost,axis=0,keepdims = 1)/m
cost = np.squeeze(cost)
return cost
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