Update README.md

Author: tommybru

README.md

@@ -55,7 +55,7 @@ challenge.plot(data)
 Note how for this LDSSystem, a linear network learns more from each added sample (larger decreases in error) than a nonlinear network, and how linear regression immediately saturates at very low error. These dynamics help contextualize model performance and comparision.
 
 <p align="center">
-<img src="https://github.com/FlyingWorkshop/dynadojo/blob/main/graphics/fixed_comp.png" alt="DynaDojo FixedComplexity Challenge Graph" />
+<img src="https://github.com/FlyingWorkshop/dynadojo/blob/main/graphics/fixed_complexity.png" alt="DynaDojo FixedComplexity Challenge Graph" />
 </p>