|
10 | 10 | }, |
11 | 11 | { |
12 | 12 | "cell_type": "code", |
13 | | - "execution_count": 1, |
| 13 | + "execution_count": null, |
14 | 14 | "id": "4534a191", |
15 | 15 | "metadata": {}, |
16 | 16 | "outputs": [ |
|
46 | 46 | "\n", |
47 | 47 | "# --- Visualize some samples ---\n", |
48 | 48 | "%matplotlib inline\n", |
49 | | - "\n", |
50 | 49 | "fig, axes = plt.subplots(2, 5, figsize=(6, 4))\n", |
51 | 50 | "\n", |
52 | 51 | "for ax in axes.flat:\n", |
|
263 | 262 | }, |
264 | 263 | { |
265 | 264 | "cell_type": "code", |
266 | | - "execution_count": 6, |
| 265 | + "execution_count": null, |
267 | 266 | "id": "4a1f7733", |
268 | 267 | "metadata": {}, |
269 | 268 | "outputs": [ |
|
308 | 307 | "from src.models.cnn_model import CNNModel\n", |
309 | 308 | "\n", |
310 | 309 | "model = CNNModel(num_classes=10)\n", |
311 | | - "summary(model, input_size=(1, 1, 28, 28))\n" |
| 310 | + "summary(model, input_size=(1, 1, 28, 28))" |
312 | 311 | ] |
313 | 312 | }, |
314 | 313 | { |
|
321 | 320 | }, |
322 | 321 | { |
323 | 322 | "cell_type": "code", |
324 | | - "execution_count": 7, |
| 323 | + "execution_count": null, |
325 | 324 | "id": "dcfe4491", |
326 | 325 | "metadata": {}, |
327 | 326 | "outputs": [ |
|
353 | 352 | " class_names=class_names,\n", |
354 | 353 | " max_samples=10,\n", |
355 | 354 | " layer_name=\"conv3\"\n", |
356 | | - ")\n" |
357 | | - ] |
358 | | - }, |
359 | | - { |
360 | | - "cell_type": "code", |
361 | | - "execution_count": 8, |
362 | | - "id": "37ec9dab", |
363 | | - "metadata": {}, |
364 | | - "outputs": [ |
365 | | - { |
366 | | - "name": "stderr", |
367 | | - "output_type": "stream", |
368 | | - "text": [ |
369 | | - "\n", |
370 | | - "(process:23160): Pango-WARNING **: 18:20:07.026: couldn't load font \"Linux libertine Not-Rotated 10\", falling back to \"Sans Not-Rotated 10\", expect ugly output.\n" |
371 | | - ] |
372 | | - }, |
373 | | - { |
374 | | - "data": { |
375 | | - "text/plain": [ |
376 | | - "'cnn_architecture.png'" |
377 | | - ] |
378 | | - }, |
379 | | - "execution_count": 8, |
380 | | - "metadata": {}, |
381 | | - "output_type": "execute_result" |
382 | | - } |
383 | | - ], |
384 | | - "source": [ |
385 | | - "from torchview import draw_graph\n", |
386 | | - "from src.models.cnn_model import CNNModel\n", |
387 | | - "\n", |
388 | | - "model = CNNModel(num_classes=10)\n", |
389 | | - "graph = draw_graph(model, input_size=(1, 1, 28, 28))\n", |
390 | | - "graph.visual_graph.render(\"cnn_architecture\", format=\"png\")\n" |
| 355 | + ")" |
391 | 356 | ] |
392 | 357 | } |
393 | 358 | ], |
|
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