Pelatihan kustom Vertex AI TensorBoard dengan container bawaan: Notebook
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Dalam tutorial ini, Anda akan mempelajari cara membuat tugas pelatihan kustom menggunakan container bawaan, lalu memantau proses pelatihan Anda di Vertex AI TensorBoard secara mendekati real-time.
Tutorial ini menggunakan layanan dan resource ML Google Cloud berikut:
Vertex AI Training
Vertex AI TensorBoard
Langkah-langkah yang dilakukan meliputi:
Siapkan akun layanan dan bucket Cloud Storage.
Tulis kode pelatihan yang disesuaikan.
Kemas dan upload kode pelatihan Anda ke Cloud Storage.
Buat dan luncurkan tugas pelatihan kustom dengan Vertex AI TensorBoard diaktifkan untuk pemantauan mendekati real-time.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[],[],null,["# Vertex AI TensorBoard custom training with prebuilt container: Notebook\n\nIn this tutorial, you learn how to create a custom training job using prebuilt\ncontainers, and monitor your training process on Vertex AI TensorBoard\nin near real time. \n| To see an example of tensorboard custom training with prebuilt container,\n| run the \"Vertex AI TensorBoard custom training with prebuilt container\" notebook in one of the following\n| environments:\n|\n| [Open in Colab](https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/tensorboard/tensorboard_custom_training_with_prebuilt_container.ipynb)\n|\n|\n| \\|\n|\n| [Open in Colab Enterprise](https://console.cloud.google.com/vertex-ai/colab/import/https%3A%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fvertex-ai-samples%2Fmain%2Fnotebooks%2Fofficial%2Ftensorboard%2Ftensorboard_custom_training_with_prebuilt_container.ipynb)\n|\n|\n| \\|\n|\n| [Open\n| in Vertex AI Workbench](https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https%3A%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fvertex-ai-samples%2Fmain%2Fnotebooks%2Fofficial%2Ftensorboard%2Ftensorboard_custom_training_with_prebuilt_container.ipynb)\n|\n|\n| \\|\n|\n| [View on GitHub](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/tensorboard/tensorboard_custom_training_with_prebuilt_container.ipynb)\n\nThis tutorial uses the following Google Cloud ML services and resources:\n\n- Vertex AI training\n- Vertex AI TensorBoard\n\nThe steps performed include:\n\n- Set up a service account and Cloud Storage buckets.\n- Write your customized training code.\n- Package and upload your training code to Cloud Storage.\n- Create and launch your custom training job with Vertex AI TensorBoard enabled for near real time monitoring.\n\nRelevant content\n----------------\n\n- [Vertex AI TensorBoard](/vertex-ai/docs/experiments/tensorboard-introduction)\n- [Custom training](/vertex-ai/docs/training/overview)"]]
