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Update Keras with Matplotlib
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@@ -18,22 +18,26 @@ The example does the following:
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The loss and accuracy metric scalar plots appear in **SCALARS**, along with the resource utilization plots, which are titled **:monitor: machine**.
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## Plots
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The example calls Matplotlib methods to create several sample plots, and TensorBoard methods to plot histograms for layer density.
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They appear in **PLOTS**.
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## Debug Samples
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The example calls Matplotlib methods to log debug sample images. They appear in **DEBUG SAMPLES**.
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## Hyperparameters
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@@ -55,17 +59,20 @@ task_params['hidden_dim'] = 512
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Parameter dictionaries appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **General**.
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The TensorFlow Definitions appear in the **TF_DEFINE** subsection.
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## Console
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Text printed to the console for training appears in **CONSOLE**.
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## Artifacts
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@@ -74,9 +81,11 @@ created using Keras.
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The task info panel shows model tracking, including the model name and design in **ARTIFACTS** **>** **Output Model**.
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Clicking on the model name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can view
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the model's details and access the model.
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