def predict(parameters, X):
    W = parameters['W']
    b = parameters['b']
    A = sigmoid((np.dot(W, X) + b))
    return A
def predict(parameters, X):
    W = parameters['W']
    b = parameters['b']
    A = sigmoid((np.dot(W, X) + b))
    return A