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Fix minor typos #22015

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Sep 4, 2018
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Fix minor typos #22015

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4 changes: 2 additions & 2 deletions ...w/contrib/eager/python/examples/generative_examples/image_captioning_with_attention.ipynb
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"\n",
"[Image Source](https://commons.wikimedia.org/wiki/Surfing#/media/File:Surfing_in_Hawaii.jpg), License: Public Domain\n",
"\n",
"Our goal is generate a caption, such as \"a surfer riding on a wave\". Here, we'll use an attention based model. This enables us to see which parts of the image the model focuses on as it generates a caption.\n",
"Our goal is to generate a caption, such as \"a surfer riding on a wave\". Here, we'll use an attention-based model. This enables us to see which parts of the image the model focuses on as it generates a caption.\n",
"\n",
"![Prediction](https://tensorflow.org/images/imcap_prediction.png)\n",
"\n",
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"source": [
"## Download and prepare the MS-COCO dataset\n",
"\n",
"We will use the [MS-COCO dataset](http://cocodataset.org/#home) to train our model. This dataset contains >82,000 images, each of which has been annotated with at least 5 different captions. The code code below will download and extract the dataset automatically. \n",
"We will use the [MS-COCO dataset](http://cocodataset.org/#home) to train our model. This dataset contains >82,000 images, each of which has been annotated with at least 5 different captions. The code below will download and extract the dataset automatically. \n",
"\n",
"**Caution: large download ahead**. We'll use the training set, it's a 13GB file."
]
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