Refactor Halide documentation: update section titles for clarity and remove redundant text

Author: madeline-underwood

content/learning-paths/mobile-graphics-and-gaming/android_halide/fusion.md

@@ -17,7 +17,7 @@ You'll also use `print_loop_nest()` to see how Halide arranges the computation,
 This section doesn't cover loop fusion using the `fuse` directive. You'll focus instead on operator fusion, which is Halide's default behavior.
 {{% /notice %}}
 
-## Code
+## Explore the code
 To explore how fusion in Halide works create a new file called `camera-capture-fusion.cpp`, and copy in the code below. This code uses a live camera pipeline (BGR → gray → 3×3 blur → threshold), adds a few schedule variants to toggle operator fusion compared to materialization, and print ms / FPS / MPix/s.  - you'll be able to see the impact immediately:
 
 ```cpp

content/learning-paths/mobile-graphics-and-gaming/android_halide/intro.md

@@ -262,7 +262,6 @@ You'll see two windows displaying the original and inverted images:
 
 You've learned Halide's foundational concepts, explored the benefits of separating algorithms and schedules, set up your development environment, and created your first functional Halide application integrated with OpenCV for Arm development.
 
-cheWhile the example introduces the core concepts of Halide pipelines (such as defining computations symbolically and realizing them), it doesn't yet showcase the benefits of separating algorithm definition from scheduling strategies.
-
-In subsequent sections, you'll explore advanced Halide scheduling techniques, including parallelism, vectorization, tiling, and loop fusion, which demonstrate the practical advantages of separating algorithm logic from scheduling. These techniques enable fine-grained performance optimization tailored to Arm processors and other hardware without modifying algorithmic correctness.
+While the example introduces the core concepts of Halide pipelines (such as defining computations symbolically and realizing them), it doesn't yet showcase the benefits of separating algorithm definition from scheduling strategies.
 
+In subsequent sections, you'll explore advanced Halide scheduling techniques, including parallelism, vectorization, tiling, and loop fusion, which demonstrate the practical advantages of separating algorithm logic from scheduling. These techniques enable fine-grained performance optimization tailored to Arm processors and other hardware without modifying algorithmic correctness.