2021-05-13 23:48:51 +00:00
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---
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2023-07-31 16:40:04 +00:00
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title: TensorFlow MNIST
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---
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The [tensorflow_mnist.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/tensorflow/tensorflow_mnist.py)
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example demonstrates the integration of ClearML into code that uses TensorFlow and Keras to train a neural network on
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the Keras built-in [MNIST](https://www.tensorflow.org/api_docs/python/tf/keras/datasets/mnist) handwritten digits dataset.
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2022-01-30 10:54:40 +00:00
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When the script runs, it creates an experiment named `Tensorflow v2 mnist with summaries` in the `examples` project.
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## Scalars
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2022-05-22 07:27:30 +00:00
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The loss and accuracy metric scalar plots appear in the experiment's page in the **ClearML web UI** under
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**SCALARS**. Resource utilization plots, which are titled **:monitor: machine**, also appear in the **SCALARS** tab.
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## Hyperparameters
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2023-01-12 10:49:55 +00:00
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS**
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**>** **TF_DEFINE**.
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2021-05-18 22:31:01 +00:00
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## Console
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All console output appears in **CONSOLE**.
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## Artifacts
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2023-10-01 07:31:48 +00:00
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Models created by the experiment appear in the experiment's **ARTIFACTS** tab. ClearML automatically logs and tracks
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models and any snapshots created using TensorFlow.
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Clicking on a model's name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can
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view the model's details and access the model.
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2021-05-13 23:48:51 +00:00
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