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Small edits (#891)

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pollfly
2024-08-05 10:12:18 +03:00
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parent 5353bd3cf6
commit e2cc07c509
15 changed files with 37 additions and 35 deletions
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1
docs/guides/frameworks/megengine/megengine_mnist.md
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@@ -50,5 +50,6 @@ The model info panel contains the model details, including:
## Console
All console output during the script's execution appears in the experiment's **CONSOLE** page.
![Console tab](../../../img/examples_megengine_console.png)

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docs/guides/frameworks/pytorch/pytorch_mnist.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 an experiment named `pytorch mnist train` in the `examples` project.
* ClearML automatically logs `argparse` command line options, and models (and their snapshots) created by PyTorch
* ClearML automatically logs `argparse` command line options, and 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/tensorboard_pr_curve.md
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@@ -11,8 +11,8 @@ The example script does the following:
label of each random color is associated with the normal distribution that generated it.
* Computes the probability that each color belongs to the class, using three other normal distributions.
* Generate PR curves using those probabilities.
* Creates a summary per class using [tensorboard.plugins.pr_curve.summary](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/plugins/pr_curve/summary.py),
* ClearML automatically captures TensorBoard output, TensorFlow Definitions, and output to the console
* Creates a summary per class using [tensorboard.plugins.pr_curve.summary](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/plugins/pr_curve/summary.py).
* ClearML automatically captures TensorBoard output, TensorFlow Definitions, and output to the console.
## Plots