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Small edits (#701)
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@@ -102,7 +102,7 @@ hyperparameters. Passing `alias=<dataset_alias_string>` stores the dataset's ID
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`dataset_alias_string` parameter in the experiment's **CONFIGURATION > HYPERPARAMETERS > Datasets** section. This way
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you can easily track which dataset the task is using.
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The Dataset's [`get_local_copy`](../../references/sdk/dataset.md#get_local_copy) method returns a path to the cached,
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[`Dataset.get_local_copy`](../../references/sdk/dataset.md#get_local_copy) returns a path to the cached,
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downloaded dataset. Then the dataset path is input to PyTorch's `datasets` object.
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The script then trains a neural network to classify images using the dataset created above.
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