[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2025-09-02 (世界標準時間)。"],[],[],null,["# Introduction to Vertex AI TensorBoard\n\nVertex AI TensorBoard is an enterprise-ready managed\nversion of [Open Source TensorBoard](https://www.tensorflow.org/tensorboard/get_started)\n(TB), which is a Google Open Source project for machine learning experiment\nvisualization.\n\nWith Vertex AI TensorBoard, you can track, visualize, and compare\nML experiments and share them with your team.\n\nVertex AI TensorBoard provides various detailed visualizations, that\nincludes:\n\n- tracking and visualizing metrics such as loss and accuracy over time,\n- visualizing model computational graphs (ops and layers),\n- viewing histograms of weights, biases, or other tensors as they change over time,\n- projecting embeddings to a lower dimensional space,\n- and displaying image, text, and audio samples.\n\nIn addition to the powerful visualizations from\nTensorBoard, Vertex AI TensorBoard provides:\n\n- a persistent, shareable link to your experiment's, Vertex AI TensorBoard experiment,\n- tight integrations with Vertex AI services for model training,\n- enterprise-grade security, privacy, and compliance.\n\nIntegration with Vertex AI Experiments lets you:\n\n- use a searchable and compare list of all experiments in a project,\n- view time series metrics in the Google Cloud console,\n- compare scalars across experiments and experiment runs,\n- have direct access to Vertex AI TensorBoard.\n\nVertex AI TensorBoard and the Google Cloud console\n--------------------------------------------------\n\nThe Google Cloud console is used to:\n\n- create or delete Vertex AI TensorBoard instances,\n- create [Vertex AI Experiments](/vertex-ai/docs/experiments/create-experiment#google-cloud-console),\n- view Vertex AI TensorBoard instance storage size → associated costs,\n- view associated [Vertex AI Experiments, Custom Jobs, and\n Pipeline Runs](/vertex-ai/docs/experiments/compare-analyze-runs),\n- visualize some [time series metrics](/vertex-ai/docs/experiments/tensorboard-view#visualize_metrics_console).\n\nWhat's next\n-----------\n\n- [Setup Vertex AI TensorBoard](/vertex-ai/docs/experiments/tensorboard-setup)\n- Check out the [TensorBoard API documentation](https://www.tensorflow.org/tensorboard/get_started)."]]