Deep Learning: Difference between revisions

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 ==Adversarial Robustness==
 Beginning of Lecture 8 (Sept. 24 2020)
-In standard ERM, we have a dataset:
-<math>\{(x_i, y_i)\}_{i=1}^{n}</math> where <math>x_i \in \mathbb{R}^d</math> and <math>y_i \in [c]</math>
-We optimize <math>\min_{\theta} E \left[ l(f_{\theta}(x), y) \right] = \frac{1}{n} \sum l(f_{\theta}(x_i), y_i) </math>
 ==Misc==