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2025-04-06 10:32:37 +03:00
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docs/guides/frameworks/pytorch/pytorch_abseil.md
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@@ -9,7 +9,7 @@ The example script does the following:
* Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/vision/stable/datasets.html#mnist)
dataset
* Creates a task named `pytorch mnist train with abseil` in the `examples` project
* ClearML automatically logs the absl.flags, and the models (and their snapshots) created by PyTorch
* ClearML automatically logs the `absl.flags`, and the models (and their snapshots) created by PyTorch
* Additional metrics are logged by calling [`Logger.report_scalar()`](../../../references/sdk/logger.md#report_scalar)
## Scalars

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docs/guides/frameworks/tensorflow/tensorflow_mnist.md
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@@ -4,7 +4,7 @@ title: TensorFlow MNIST
The [tensorflow_mnist.py](https://github.com/clearml/clearml/blob/master/examples/frameworks/tensorflow/tensorflow_mnist.py)
example demonstrates the integration of ClearML into code that uses TensorFlow and Keras to train a neural network on
the Keras built-in [MNIST](https://www.tensorflow.org/api_docs/python/tf/keras/datasets/mnist) handwritten digits dataset.
the Keras built-in [MNIST](https://www.tensorflow.org/api_docs/python/tf/keras/datasets/mnist) handwritten digit dataset.
When the script runs, it creates a task named `Tensorflow v2 mnist with summaries` in the `examples` project.