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fix dataset name (#30)
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@ -4,7 +4,7 @@ title: Image Classification - Jupyter Notebook
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The example [image_classification_CIFAR10.ipynb](https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/notebooks/image/image_classification_CIFAR10.ipynb)
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demonstrates integrating **ClearML** into a Jupyter Notebook, which uses PyTorch, TensorBoard, and TorchVision to train a
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neural network on the UrbanSound8K dataset for image classification. **ClearML** automatically logs the example script's
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neural network on the CIFAR10 dataset for image classification. **ClearML** automatically logs the example script's
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calls to TensorBoard methods in training and testing which report scalars and image debug samples, as well as the model
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and console log. In the example, we also demonstrate connecting parameters to a Task and logging them. When the script runs,
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it creates an experiment named `image_classification_CIFAR10` which is associated with the `Image Example` project.
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