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Fix broken links (#55)
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@ -6,7 +6,7 @@ The [pytorch_mnist.py](https://github.com/allegroai/clearml/blob/master/examples
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demonstrates the integration of **ClearML** into code that uses PyTorch.
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demonstrates the integration of **ClearML** into code that uses PyTorch.
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The example script does the following:
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The example script does the following:
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* Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/docs/stable/torchvision/datasets.html#mnist)
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* Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/vision/stable/datasets.html#mnist)
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dataset.
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dataset.
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* Uses **ClearML** automatic logging.
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* Uses **ClearML** automatic logging.
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* Calls the [Logger.report_scalar](../../../references/sdk/logger.md#report_scalar) method to demonstrate explicit reporting,
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* Calls the [Logger.report_scalar](../../../references/sdk/logger.md#report_scalar) method to demonstrate explicit reporting,
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@ -6,7 +6,7 @@ The [pytorch_tensorboardX.py](https://github.com/allegroai/clearml/blob/master/e
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example demonstrates the integration of **ClearML** into code that uses PyTorch and TensorBoardX.
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example demonstrates the integration of **ClearML** into code that uses PyTorch and TensorBoardX.
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The script does the following:
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The script does the following:
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1. Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/docs/stable/torchvision/datasets.html#mnist) dataset.
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1. Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/vision/stable/datasets.html#mnist) dataset.
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1. Creates a TensorBoardX `SummaryWriter` object to log:
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1. Creates a TensorBoardX `SummaryWriter` object to log:
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* Scalars during training
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* Scalars during training
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* Scalars and debug samples during testing
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* Scalars and debug samples during testing
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