diff --git a/tinytorch/src/01_tensor/01_tensor.py b/tinytorch/src/01_tensor/01_tensor.py
index 3b55c17cb..34b8d5576 100644
--- a/tinytorch/src/01_tensor/01_tensor.py
+++ b/tinytorch/src/01_tensor/01_tensor.py
@@ -936,15 +936,15 @@ Matrix Multiplication Process:
     A (2×3)      B (3×2)         C (2×2)
    ┌       ┐    ┌     ┐       ┌         ┐
    │ 1 2 3 │    │ 7 8 │       │ 1×7+2×9+3×1 │   ┌      ┐
-   │       │ ×  │ 9 1 │  =    │             │ = │ 28 13│
-   │ 4 5 6 │    │ 1 2 │       │ 4×7+5×9+6×1 │   │ 79 37│
+   │       │ ×  │ 9 1 │  =    │             │ = │ 28 16│
+   │ 4 5 6 │    │ 1 2 │       │ 4×7+5×9+6×1 │   │ 79 49│
    └       ┘    └     ┘       └             ┘   └      ┘
 
 Computation Breakdown:
 C[0,0] = A[0,:] · B[:,0] = [1,2,3] · [7,9,1] = 1×7 + 2×9 + 3×1 = 28
-C[0,1] = A[0,:] · B[:,1] = [1,2,3] · [8,1,2] = 1×8 + 2×1 + 3×2 = 13
+C[0,1] = A[0,:] · B[:,1] = [1,2,3] · [8,1,2] = 1×8 + 2×1 + 3×2 = 16
 C[1,0] = A[1,:] · B[:,0] = [4,5,6] · [7,9,1] = 4×7 + 5×9 + 6×1 = 79
-C[1,1] = A[1,:] · B[:,1] = [4,5,6] · [8,1,2] = 4×8 + 5×1 + 6×2 = 37
+C[1,1] = A[1,:] · B[:,1] = [4,5,6] · [8,1,2] = 4×8 + 5×1 + 6×2 = 49
 
 Key Rule: Inner dimensions must match!
 A(m,n) @ B(n,p) = C(m,p)
@@ -1491,12 +1491,12 @@ Step 1: Matrix Multiply
 [[1, 2, 3]] @ [[0.1, 0.2]] = [[1×0.1+2×0.3+3×0.5, 1×0.2+2×0.4+3×0.6]]
 [[4, 5, 6]]   [[0.3, 0.4]]   [[4×0.1+5×0.3+6×0.5, 4×0.2+5×0.4+6×0.6]]
               [[0.5, 0.6]]
-                           = [[1.6, 2.6],
-                              [4.9, 6.8]]
+                           = [[2.2, 2.8],
+                              [4.9, 6.4]]
 
 Step 2: Add Bias (Broadcasting)
-[[1.6, 2.6]] + [0.1, 0.2] = [[1.7, 2.8],
- [4.9, 6.8]]                 [5.0, 7.0]]
+[[2.2, 2.8]] + [0.1, 0.2] = [[2.3, 3.0],
+ [4.9, 6.4]]                 [5.0, 6.6]]
 
 This is the foundation of every neural network layer!
 ```
diff --git a/tinytorch/src/09_convolutions/09_convolutions.py b/tinytorch/src/09_convolutions/09_convolutions.py
index da935e727..4495c841d 100644
--- a/tinytorch/src/09_convolutions/09_convolutions.py
+++ b/tinytorch/src/09_convolutions/09_convolutions.py
@@ -207,7 +207,7 @@ Max Pooling Example (2×2 window):
 Input:             Output:
 ┌───────────────┐  ┌───────┐
 │ 1  3  2  4    │  │ 6   8 │  ← max([1,3,5,6])=6, max([2,4,7,8])=8
-│ 5  6  7  8    │  │ 9   9 │  ← max([5,2,9,1])=9, max([7,4,9,3])=9
+│ 5  6  7  8    │  │ 9   9 │  ← max([2,9,0,1])=9, max([1,3,9,3])=9
 │ 2  9  1  3    │  └───────┘
 │ 0  1  9  3    │
 └───────────────┘
@@ -215,7 +215,7 @@ Input:             Output:
 Average Pooling (same window):
 ┌─────────────┐
 │ 3.75   5.25 │  ← avg([1,3,5,6])=3.75, avg([2,4,7,8])=5.25
-│ 2.75   5.75 │  ← avg([5,2,9,1])=4.25, avg([7,4,9,3])=5.75
+│ 3.0    4.0  │  ← avg([2,9,0,1])=3.0, avg([1,3,9,3])=4.0
 └─────────────┘
 ```