typo

Author: bentrevett

4 - VGG.ipynb

@@ -9,7 +9,7 @@
  "source": [
  "# 4 - VGG\n",
  "\n",
- "In this notebook we will be implementing one of the [VGG](https://arxiv.org/abs/1409.1556) model variants. VGG is a neural network model that uses convolutional neural network (CNN) layers and was designed for the [ImageNet challenge](http://www.image-net.org/challenges/LSVRC/). VGG won the ImageNet challenge in 2014.\n",
+ "In this notebook we will be implementing one of the [VGG](https://arxiv.org/abs/1409.1556) model variants. VGG is a neural network model that uses convolutional neural network (CNN) layers and was designed for the [ImageNet challenge](http://www.image-net.org/challenges/LSVRC/), which it won in 2014.\n",
  "\n",
  "VGG is not a single model, but a family of models that are all similar but have different *configurations*. Each configuration specifies the number of layers and the size of each layer. The configurations are listed in table 1 of the [VGG paper](https://arxiv.org/pdf/1409.1556.pdf) and denoted by a letter, although recently they are just referred to as the number of layers with weights in the model, e.g. configuration \"A\" has 11 layers with weights so is known as VGG11.\n",
  "\n",