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La app web de Vertex AI TensorBoard proporciona una visualización de los registros asociados con un experimento de Vertex AI TensorBoard.
Esta aplicación web ofrece varias herramientas y paneles para visualizar y comparar datos entre ejecuciones de experimentos, y para perfilar el rendimiento del entrenamiento de modelos.
Para obtener más información sobre cada panel, consulta el archivo README en "La visualización".
Accede a una app web de Vertex AI TensorBoard
Para acceder a la app web de Vertex AI TensorBoard, usa el siguiente formato de dirección:
Visualiza las métricas de Vertex AI TensorBoard en la Google Cloud consola
Si tu instancia de TensorBoard está asociada con un experimento de Vertex AI, que es automático cuando se usa una instancia predeterminada de TensorBoard, ciertas métricas se pueden visualizar directamente en la consola de Google Cloud , sin usar la aplicación web.
En el documento Comparar y analizar ejecuciones,
se describe cómo ver los detalles de las ejecuciones de experimentos y compararlas
entre sí en la consola de Google Cloud .
Las métricas de series temporales de TensorBoard aparecen en la pestaña Gráficos de la barra de navegación
de la consola de Vertex AI Experiments.
[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],["Última actualización: 2025-09-04 (UTC)"],[],[],null,["# View Vertex AI TensorBoard data\n\nThe Vertex AI TensorBoard web app provides a visualization of\nlogs associated with a Vertex AI TensorBoard experiment.\nThis web application offers several tools and dashboards to visualize and\ncompare data across experiment runs, and to\n[profile model training performance](/vertex-ai/docs/training/tensorboard-profiler).\n\nTo learn more about each dashboard, see the\n[README](https://github.com/tensorflow/tensorboard/blob/master/README.md#the-visualizations)\nfor \"The Visualization\".\n\nAccess a Vertex AI TensorBoard web app\n--------------------------------------\n\nThe Vertex AI TensorBoard web app is accessed using the\nfollowing address format:\n\n`https://`\u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e`.tensorboard.googleusercontent.com/experiment/projects+`\u003cvar translate=\"no\"\u003ePROJECT_NAME_OR_ID\u003c/var\u003e`+locations+`\u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e`+tensorboards+`\u003cvar translate=\"no\"\u003eTENSORBOARD_ID\u003c/var\u003e`+experiments+`\u003cvar translate=\"no\"\u003eEXPERIMENT_NAME\u003c/var\u003e\n\n- \u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e: the region your TensorBoard is located in\n- \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: the project your TensorBoard was created in\n- \u003cvar translate=\"no\"\u003eTENSORBOARD_ID\u003c/var\u003e: the [TensorBoard ID](/vertex-ai/docs/experiments/tensorboard-setup#tensorboard_id)\n- \u003cvar translate=\"no\"\u003eEXPERIMENT_NAME\u003c/var\u003e: the name of the TensorBoard experiment\n\nThis link can be shared and used by anyone who has permission.\n\nYou can navigate here directly by inserting the appropriate values,\nor by following a link available in the following ways.\n\n### gcloud CLI and Vertex AI SDK for Python\n\nWhen creating or uploading logs to a Vertex AI TensorBoard, the\ngcloud CLI and SDK output a link to the Vertex AI TensorBoard\ninstance.\n\n### Google Cloud console\n\nYou can access the TensorBoard web app using the Google Cloud console. \n\n### Experiments\n\nIf your Vertex AI TensorBoard is associated with a Vertex AI\nExperiment, which is automatic when a\n[default instance](/vertex-ai/docs/experiments/tensorboard-setup#use_default_instance)\nis involved, you can access the TensorBoard web app directly from the Experiments page.\n\n### Custom training\n\nIf you used Vertex AI TensorBoard with\n[custom training](/vertex-ai/docs/experiments/tensorboard-training)\nyou can access the TensorBoard web app directly from the custom training job.\n\n1. In the Vertex AI section of the Google Cloud console, go to the **Training** page. [Go to Training](https://console.cloud.google.com/vertex-ai/training)\n2. Click **Custom Jobs** tab.\n3. Select your training job from the list of training runs. The details page appears\n4. Click the **Open TensorBoard** button. \n\n### Vertex AI Pipelines\n\nIf you used Vertex AI TensorBoard with [Vertex AI Pipelines](/vertex-ai/docs/experiments/tensorboard-with-pipelines), the TensorBoard web app can be accessed\ndirectly from the component information display.\n\n1. In the Vertex AI section of the Google Cloud console, go to the **Pipelines** page. [Go to Pipelines](https://console.cloud.google.com/vertex-ai/pipelines)\n2. From the pipelines tab, scroll or filter the pipeline list to find your pipeline.\n3. On the pipeline display select the component where TensorBoard metrics are captured, typically the training component.\n4. Select the **Open TensorBoard** button in the upper right. \n\nVisualize Vertex AI TensorBoard metrics in the Google Cloud console\n-------------------------------------------------------------------\n\nIf your TensorBoard instance is associated with a\nVertex AI Experiments, which is automatic when using a\n[default TensorBoard instance](/vertex-ai/docs/experiments/tensorboard-setup#use_default_instance), certain\nmetrics can be visualized directly in the Google Cloud console, without using\nthe web application.\n\nThe [Compare and analyze runs](/vertex-ai/docs/experiments/compare-analyze-runs#console-compare-analyze-runs)\ndocument describes how to view details of your experiment runs and compare\nthe experiment runs to each other in the Google Cloud console.\nTensorBoard timeseries metrics appear under the **Charts** tab in the navigation\nbar of the Vertex AI Experiments console."]]