Wrong output with Normalization

I am pretty new to Neural Networks and working on an assigment where I am trying to normalize a vector with order 2 in Exercise 6 of the course - Neural Networks and Deep Learning - but getting this error

normalizeRows(x) = [[0. 0.34464652 0.45952869]
[0.11488217 0.68929303 0.45952869]]
Error: Wrong output

where x:
x = np.array([[0., 3., 4.],
[1., 6., 4.]])

and here are normalisation steps?
x_norm = np.linalg.norm(x, ord = 2, axis = None, keepdims = True)
x = x / x_norm

Please ignore I fixed it

2 Likes