October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Download and prepare the MS-COCO dataset
We are going to use the MS-COCO dataset (http://cocodataset.org/#home) to train our model. This dataset contains more than 82,000 images, each of which has been annotated with at least five different captions. The following code will download and extract the dataset automatically:
annotation_zip = tf.keras.utils.get_file('captions.zip', cache_subdir=os.path.abspath('.'), origin = 'http://images.cocodataset.org/annotations/annotations_trainval2014.zip', extract = True)annotation_file = os.path.dirname(annotation_zip)+'/annotations/captions_train2014.json'name_of_zip = 'train2014.zip'if not os.path.exists(os.path.abspath('.') + '/' + name_of_zip): image_zip = tf.keras.utils.get_file(name_of_zip, cache_subdir=os.path.abspath('.'), ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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