State-of-the-Art Deep Learning Models in TensorFlow by David Paper

Author:David Paper
Language: eng
Format: epub
ISBN: 9781484273418
Publisher: Apress

Load Data

Load the training set from the Stanford Dogs training data (train split):train_pups, dogs_info = tfds.load(

'stanford_dogs', with_info=True,

as_supervised=True, try_gcs=True,

split='train')

Load validation and test sets with 50% splits each from the Stanford Dogs test data (test split):(validation_pups, test_pups) = tfds.load(

'stanford_dogs',

split=['test[:50%]', 'test[50%:]'],

as_supervised=True, try_gcs=True)

Metadata

Display metadata:dogs_info

Visualize Examples

Create a function to get the named label from the integer label:get_name = dogs_info.features['label'].int2str

Download

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