TensorFlow's `tf.
I'm trying to used the cache transformation for a dataset. Here is my current code (simplified): dataset = tf.data.TFRecordDataset(…
tensorflow tensorflow-datasetsI was reading the TF performance guide for Data Loading section. For prefetch it says, The tf.data API provides …
tensorflow tensorflow-datasetsI have a dict with "metadata" for my dataset, of sort {'m1': array_1, 'm2': array_2, ...}. Each of the …
python dictionary tensorflow tensorflow-datasetsI recently began learning tensorflow. I am unsure about whether there is a difference x = np.array([[1],[2],[3],[4],[5]]) dataset = tf.data.…
tensorflow tensorflow-datasetsI'm following this guide. It shows how to download datasets from the new TensorFlow Datasets using tfds.load() method: import …
python tensorflow tensorflow-datasets data-augmentation tensorflow2.0