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In Lab 02, the grad_norm_bound value in the last section is computed incorrectly. It should be calculated as (25 * np.linalg.norm(np.dot(A.T, A), 2) + np.linalg.norm(np.dot(A.T, b))) / A.shape[0] in order to use the Spectral Norm (not specifying the ord argument yields the Frobenius norm).
The text was updated successfully, but these errors were encountered:
In Lab 02, the
grad_norm_bound
value in the last section is computed incorrectly. It should be calculated as(25 * np.linalg.norm(np.dot(A.T, A), 2) + np.linalg.norm(np.dot(A.T, b))) / A.shape[0]
in order to use the Spectral Norm (not specifying theord
argument yields the Frobenius norm).The text was updated successfully, but these errors were encountered: