neural_networks.tex

\begin{tabular}{l|l}
  $d$ & dimension of an input vector \\
  $K$ & number of output classification classes \\
\end{tabular}


\begin{enumerate}
\item A vanilla FC classification network is a map from $\R^d \to \R^k$.
\item A CNN is the same, but a neuron in layer $l$ is connected to a subset of neurons in layer $l-1$.
\end{enumerate}