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This page provides notebook examples for computer vision tasks using Serverless GPU compute. These examples demonstrate how to train and fine-tune models for various computer vision applications.
Image classification using convolutional neural network
The following notebook provides a simple example of how to train a 2-D convolution neural network on Serverless GPU compute for image classification.
PyTorch image classification
Object detection using RetinaNet
The following notebook demonstrates how to train an object detection model using RetinaNet on Serverless GPU compute.