diff --git a/modules/cnn/cnn_dev.ipynb b/modules/cnn/cnn_dev.ipynb
index ae5dbd04..7114bbef 100644
--- a/modules/cnn/cnn_dev.ipynb
+++ b/modules/cnn/cnn_dev.ipynb
@@ -118,7 +118,7 @@
       "outputs": [],
       "source": [
         "\"\"\"\n",
-        "### \ud83e\uddea Test Your Conv2D Implementation\n",
+        "### 🧪 Test Your Conv2D Implementation\n",
         "\n",
         "Try your function on this simple example:\n",
         "\"\"\""
@@ -150,10 +150,10 @@
         "    output = conv2d_naive(input, kernel)\n",
         "    print(\"Output:\\n\", output)\n",
         "    print(\"Expected:\\n\", expected)\n",
-        "    assert np.allclose(output, expected), \"\u274c Output does not match expected!\"\n",
-        "    print(\"\u2705 conv2d_naive works!\")\n",
+        "    assert np.allclose(output, expected), \"❌ Output does not match expected!\"\n",
+        "    print(\"✅ conv2d_naive works!\")\n",
         "except Exception as e:\n",
-        "    print(f\"\u274c Error: {e}\")\n",
+        "    print(f\"❌ Error: {e}\")\n",
         "    print(\"Make sure to implement conv2d_naive above!\")"
       ]
     },
@@ -245,7 +245,7 @@
         "## Step 4: Compose a Simple ConvNet\n",
         "\n",
         "Now you can build a simple ConvNet:\n",
-        "- Conv2D \u2192 ReLU \u2192 Flatten \u2192 Dense\n",
+        "- Conv2D → ReLU → Flatten → Dense\n",
         "\"\"\""
       ]
     },
@@ -263,9 +263,9 @@
         "    x = Tensor(np.random.randn(3, 3).astype(np.float32))\n",
         "    out = dense(flatten(relu(conv(x))))\n",
         "    print(\"ConvNet output:\", out.data)\n",
-        "    print(\"\u2705 Simple ConvNet works!\")\n",
+        "    print(\"✅ Simple ConvNet works!\")\n",
         "except Exception as e:\n",
-        "    print(f\"\u274c Error: {e}\")\n",
+        "    print(f\"❌ Error: {e}\")\n",
         "    print(\"Check your Conv2D and flatten implementations!\")"
       ]
     },
@@ -333,10 +333,10 @@
         "    conv = Conv2D((3, 3))\n",
         "    out = conv(x)\n",
         "    print(\"Conv2D output shape:\", out.shape)\n",
-        "    assert out.shape == (3, 3), \"\u274c Output shape incorrect!\"\n",
-        "    print(\"\u2705 Conv2D layer passes shape test!\")\n",
+        "    assert out.shape == (3, 3), \"❌ Output shape incorrect!\"\n",
+        "    print(\"✅ Conv2D layer passes shape test!\")\n",
         "except Exception as e:\n",
-        "    print(f\"\u274c Error: {e}\")\n",
+        "    print(f\"❌ Error: {e}\")\n",
         "    print(\"Check your Conv2D implementation!\")"
       ]
     }
@@ -354,4 +354,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 4
-}
\ No newline at end of file
+}