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update docs creation and dog vision notebook
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mrdbourke committed Apr 4, 2024
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1 change: 1 addition & 0 deletions make_docs.sh
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Expand Up @@ -5,6 +5,7 @@ cp section-2-data-science-and-ml-tools/introduction-to-numpy.ipynb docs/
cp section-2-data-science-and-ml-tools/introduction-to-pandas.ipynb docs/
cp section-2-data-science-and-ml-tools/introduction-to-matplotlib.ipynb docs/
cp section-2-data-science-and-ml-tools/introduction-to-scikit-learn.ipynb docs/
cp section-4-unstructured-data-projects/end-to-end-dog-vision-v2.ipynb docs/
cp communicating-your-work.md docs/
cp images/* docs/images/

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"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"### Getting a GPU\n",
"\n",
"Before running any code, we'll make sure our Google Colab instance is connected to a GPU.\n",
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"id": "PDvfRmUqx0C5"
},
"source": [
"# TK - Getting Data\n",
"## TK - Getting Data\n",
"\n",
"There are several options and locations to get data for a deep learning project.\n",
"\n",
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"\n",
"In our case, the dataset we're going to use is called the Stanford Dogs dataset (or ImageNet dogs, as the images are dogs separated from ImageNet).\n",
"\n",
"Because the Stanford Dogs dataset has been around for a while (since 2011, which as of writing this in 2023 is like a lifetime in deep learning), it's available from several resources:\n",
"Because the Stanford Dogs dataset has been around for a while (since 2011, which as of writing this in 2024 is like a lifetime in deep learning), it's available from several resources:\n",
"\n",
"* The [original project website](http://vision.stanford.edu/aditya86/ImageNetDogs/) via link download\n",
"* Inside [TensorFlow datasets under `stanford_dogs`](https://www.tensorflow.org/datasets/catalog/stanford_dogs)\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.0"
"version": "3.11.8"
}
},
"nbformat": 4,
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