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Unsupervised Learning: Difference between revisions
→Optimization
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Taking the gradient and setting it to 0 we get:<br> | Taking the gradient and setting it to 0 we get:<br> | ||
<math> | <math> | ||
kmo | |||
\begin{align} | \begin{align} | ||
\nabla L(\mu, \mathbf{z}) &= \nabla \sum_{i} \Vert x^{(i)} - \mu_{z^{(i)}} \Vert ^2\\ | \nabla L(\mu, \mathbf{z}) &= \nabla \sum_{i} \Vert x^{(i)} - \mu_{z^{(i)}} \Vert ^2\\ | ||