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Update DTAT391B_sources.folder.ipynb
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tutorials/3-advanced-topics/DTAT391B_sources.folder.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Total images in dataset: 9\n",
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"Classes: ['cat', 'bird', 'dog']\n"
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"Classes: ['dog', 'cat', 'bird']\n"
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]
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}
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],
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},
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"cell_type": "code",
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"execution_count": 31,
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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},
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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" 📄 image_0.jpg\n",
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" 📄 image_1.jpg\n",
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" 📄 image_2.jpg\n",
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" 📂 bird\n",
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" 📄 image_0.jpg\n",
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" 📄 image_1.jpg\n",
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" 📄 image_2.jpg\n",
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" 📂 train\n",
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" 📂 cat\n",
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" 📄 image_0.jpg\n",
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" 📄 image_1.jpg\n",
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" 📄 image_2.jpg\n",
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" 📂 bird\n",
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" 📄 image_0.jpg\n",
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" 📄 image_1.jpg\n",
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" 📄 image_2.jpg\n"
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" 📄 image_2.jpg\n"
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]
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}
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],
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"display_name": "py_env_book",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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"version": "3.10.15"
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}
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},
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"nbformat": 4,

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