From 61b1d000db5af5ba994b793b96d43d983bb118dc Mon Sep 17 00:00:00 2001 From: Joe Bender Date: Mon, 13 Apr 2020 13:29:29 -0400 Subject: [PATCH] Fix Pet Dataset name typo --- 01_intro.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/01_intro.ipynb b/01_intro.ipynb index 8be9f17..d246688 100644 --- a/01_intro.ipynb +++ b/01_intro.ipynb @@ -508,7 +508,7 @@ "source": [ "When you click on a cell it will be selected. Click on the cell now which begins with the line \"# CLICK ME\". The first character in that line represents a comment in Python, so is ignored when executing the cell. The rest of the cell is, believe it or not, a complete system for creating and training a state-of-the-art model for recognizing cats versus dogs. So, let's train it now! To do so, just press shift-enter on your keyboard, or press the \"play\" button on the toolbar. Then, wait a few minutes while the following things happen:\n", "\n", - "1. A dataset containing called the [Oxford-IIT Pet Dataset](http://www.robots.ox.ac.uk/~vgg/data/pets/) that contains 7,349 images of cats and dogs from 37 different breeds will be downloaded from the fast.ai datasets collection to the GPU server you are using, and will then be extracted\n", + "1. A dataset containing called the [Oxford-IIIT Pet Dataset](http://www.robots.ox.ac.uk/~vgg/data/pets/) that contains 7,349 images of cats and dogs from 37 different breeds will be downloaded from the fast.ai datasets collection to the GPU server you are using, and will then be extracted\n", "2. A *pretrained model* will be downloaded from the Internet, which has already been trained on 1.3 million images, using a competition winning model\n", "3. The pretrained model will be *fine-tuned* using the latest advances in transfer learning, to create a model that is specially customised for recognising dogs and cats\n", "\n",