fix typo
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		| @@ -18,7 +18,7 @@ | ||||
| \subsubsection{CNN} | ||||
| \subsubsection{Softmax} | ||||
|  | ||||
| The Softmax function converts $n$ numbers in a vector into a probability distribution. | ||||
| The Softmax function converts $n$ numbers of a vector into a probability distribution. | ||||
| Its a generalization of the Sigmoid function and often used as an Activation Layer in neural networks. | ||||
| \begin{equation}\label{eq:softmax} | ||||
| \sigma(\mathbf{z})_j = \frac{e^{z_j}}{\sum_{k=1}^K e^{z_k}} \; for j\coloneqq\{1,\dots,K\} | ||||
|   | ||||
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