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Improves clarity in CNN notebook

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Enhances the notebook by replacing some unicode characters with more standard and universally compatible symbols, improving the overall readability and user experience.
This commit is contained in:
Vijay Janapa Reddi
2025-07-11 15:01:16 -04:00
parent eebb22ebdb
commit fbea010cdb
1 changed files with 11 additions and 11 deletions
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modules/cnn/cnn_dev.ipynb
+11 -11
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@@ -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
}
}