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@@ -20,7 +20,7 @@ either hold or are violated. The kind of properties that can be verified are two
An example of a Multi-Network property is equivalence between different neural networks; this
verification is crucial when replacing a neural network with a smaller, equivalent one. Techniques
based on specialized \textit{Satisfiability Modulo Theories} (SMT) solvers may be used in the verification
-algorithm, however, as networks grow in depth and width, the number of non-linear components, most
+algorithm. However, as networks grow in depth and width, the number of non-linear components, most
notably the \textit{Rectified Linear Unit}\footnote{Defined as $f(x)=\max(0, x)$, where $x$ is the input to the
neuron.} (ReLU) activation function, creates an exponential search space for the solver. Because of
this issue, running a solver against a raw, unoptimized network is often computationally prohibitive.