Pastaba.
Prieigai prie šio puslapio reikalingas įgaliojimas. Galite bandyti prisijungti arba pakeisti katalogus.
Prieigai prie šio puslapio reikalingas įgaliojimas. Galite bandyti pakeisti katalogus.
Important
AI Runtime for single-node tasks is in Public Preview. The distributed training API for multi-GPU workloads remain in Beta.
These notebooks train computer vision models on AI Runtime. They cover image classification with a convolutional neural network and object detection with RetinaNet.
| Tutorial | Description |
|---|---|
| Image classification using convolutional neural network | This notebook provides a simple example of how to train a 2-D convolution neural network on serverless GPUs for image classification. |
| Object detection using RetinaNet | This notebook demonstrates how to train an object detection model using RetinaNet on serverless GPU. |
| Object detection using YOLO11n | This notebook demonstrates how to train a YOLO11n object detection model on the COCO128 dataset using serverless GPU, with MLflow tracking and Model Serving deployment. |