Visualizing a Trained Autoencoder

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a^{(2)}_i = f\left(\sum_{j=1}^{100} W^{(1)}_{ij} x_j  + b^{(1)}_i \right).
a^{(2)}_i = f\left(\sum_{j=1}^{100} W^{(1)}_{ij} x_j  + b^{(1)}_i \right).
\end{align}</math>
\end{align}</math>
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%This is the activation function <math>\textstyle g(\cdot)</math> applied to an affine function of the input.
+
<!-- This is the activation function <math>\textstyle g(\cdot)</math> applied to an affine function of the input.!-->
We will visualize the function computed by hidden unit <math>\textstyle i</math>---which depends on the
We will visualize the function computed by hidden unit <math>\textstyle i</math>---which depends on the
parameters <math>\textstyle W^{(1)}_{ij}</math> (ignoring
parameters <math>\textstyle W^{(1)}_{ij}</math> (ignoring

Revision as of 00:33, 4 May 2011

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