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4 | Updated the lecture notes link | ||
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I'm following the open courseware content on Machine Learning from Stanford University. In the lecture notes, it is given that $$\Delta_A \ tr(ABA^TC) = CAB + C^TAB^T$$ which I tried but couldn't prove easily. It is not required to follow the course content but I just wondered and wanted to learn its proof. Any suggestions? Update: $A$, $B$, and $C$ are matrices and $\Delta_A$ is the gradient operation on matrix $A$. |
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3 | Updated the math syntax (dollar signs) | ||
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I'm following the open courseware content on Machine Learning from Stanford University. In the lecture notes, it is given that $$\Delta_A \ tr(ABA^TC) = CAB + C^TAB^T$$ which I tried but couldn't prove easily. It is not required to follow the course content but I just wondered and wanted to learn its proof. Any suggestions? Update: $A$, $B$, and $C$ are matrices and $\Delta_A$ is the gradient operation on matrix $A$. |
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2 | Removed the greetings | ||
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Dear all, I'm following the open courseware content on Machine Learning from Stanford University. In the lecture notes, it is given that $$\Delta_A \ tr(ABA^TC) = CAB + C^TAB^T$$ which I tried but couldn't prove easily. It is not required to follow the course content but I just wondered and wanted to learn its proof. Any suggestionsto prove it are appreciated. Kind wishes.? |
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