From e9326418658385c99cded707d5219ac3fc3299f1 Mon Sep 17 00:00:00 2001 From: mrdbourke Date: Thu, 4 Apr 2024 15:01:01 +1000 Subject: [PATCH] update docs creation and dog vision notebook --- make_docs.sh | 1 + .../end-to-end-dog-vision-v2.ipynb | 7 +++---- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/make_docs.sh b/make_docs.sh index 37aea2dc4..b2731b41b 100755 --- a/make_docs.sh +++ b/make_docs.sh @@ -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/ diff --git a/section-4-unstructured-data-projects/end-to-end-dog-vision-v2.ipynb b/section-4-unstructured-data-projects/end-to-end-dog-vision-v2.ipynb index 7b9871299..850ac7cb7 100644 --- a/section-4-unstructured-data-projects/end-to-end-dog-vision-v2.ipynb +++ b/section-4-unstructured-data-projects/end-to-end-dog-vision-v2.ipynb @@ -184,7 +184,6 @@ "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", @@ -290,7 +289,7 @@ "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", @@ -305,7 +304,7 @@ "\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", @@ -11593,7 +11592,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.11.8" } }, "nbformat": 4,