AutoML Edge（エクスポート可能）モデルを作成するには、特定のデータ型の UI から直接作成するか、プログラムでトレーニング パイプライン ジョブを開始します。このモデルは、準備済みのデータセットを使用して作成します。Google Cloud コンソールまたは API を使用して、このデータセットを作成します。Vertex AI API は、データセットの項目を使用してモデルのトレーニングとテストを行い、モデルのパフォーマンスを評価します。評価結果を確認して、必要に応じてトレーニング データセットを調整し、改善されたデータセットで新しいトレーニング ジョブを作成します。
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2024-09-19 UTC。"],[],[],null,["# Train an AutoML Edge model using the Google Cloud console\n\nYou create an AutoML Edge (exportable) model directly in the UI for certain\ndata types, or by starting a training pipeline job\n[programmatically](/vertex-ai/docs/training/automl-edge-api). You create this model using a prepared\ndataset. Create this dataset in the Google Cloud console or\nusing the [API](/vertex-ai/docs/training/automl-edge-api). Vertex AI API uses the\nitems from the dataset to train the model, test it, and evaluate\nmodel performance. Review the evaluations results, adjust the training dataset\nas needed, and create a new training job using the improved dataset.\n\nTraining jobs can take several hours to complete. The Vertex AI\npage of the Google Cloud console shows the status of training.\n\nTraining an AutoML Edge model\n-----------------------------\n\n1. In the Google Cloud console, in the Vertex AI section, go to\n the **Datasets** page.\n\n [Go to the Datasets page](https://console.cloud.google.com/vertex-ai/datasets)\n2. Click the name of the dataset you want to use to train your model to open\n its details page.\n\n3. If your data type uses annotation sets, select the annotation set you want\n to use for this model.\n\n4. Click **Train new model**.\n\n5. In the **Train new model** page, complete the\n following steps for your data type:\n\n ### Image\n\n 1.\n Select radio_button_checked**AutoML Edge**\n for the training method and click **Continue**.\n\n 2. Enter the display name for your new model.\n\n 3.\n If you want manually set how your training data is split, expand **Advanced\n options** and select a data split option.\n [Learn more](/vertex-ai/docs/general/ml-use).\n\n 4. Click **Continue**.\n\n 5.\n ***Classification** models only (optional)* : In the **Explainability**\n section, select check_box**Generate explainable\n bitmaps for each image in the test set** to enable\n [Vertex Explainable AI](/vertex-ai/docs/explainable-ai/overview).\n Choose [visualization settings](/vertex-ai/docs/explainable-ai/visualization-settings-automl-icn) and\n click **Continue**.\n\n This feature has costs associated with it. See [Pricing](/vertex-ai/pricing)\n for more information.\n\n \u003cbr /\u003e\n\n 6.\n Select the optimization goal that best suits your need. You\n can optimize for accuracy, latency, or both.\n\n 7. Click **Continue**.\n\n 8.\n In the **Compute and pricing** window, enter the maximum number of\n hours you want your model to train for.\n\n\n This setting helps you put a cap on the training costs. The actual\n time elapsed can be longer than this value, because there are other\n operations involved in creating a new model.\n\n \u003cbr /\u003e\n\n 9.\n If you want to stop training when the model is no longer\n improving, select **Enable early stopping**.\n\n ### Video\n\n 1. Enter the display name for your new model.\n\n 2. Click **Continue**.\n\n 3.\n Select radio_button_checked**AutoML Edge**\n for the training method and click **Continue**.\n\n 4.\n Select the optimization goal that best suits your need. You\n can optimize for accuracy, latency, or both.\n\n 5. Click **Continue**.\n\n Several minutes after training starts, you can check the training\n node hour estimation from the model's properties information.\n If you cancel the training, there is no charge on the current product.\n\n \u003cbr /\u003e\n\n6. Click **Start Training**.\n\n Model training can take many hours, depending on your training budget\n (image only) and the size and complexity of your data. You can close\n this tab and return to it later. You will receive an email when your\n model has completed training.\n\nWhat's next\n-----------\n\n- [Evaluate AutoML models](/vertex-ai/docs/training/evaluating-automl-models).\n- [Export AutoML Edge models](/vertex-ai/docs/export/export-edge-model).\n- [Use Vertex Explainable AI to understand model behavior](/vertex-ai/docs/explainable-ai/overview)."]]
