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Amazon SageMaker ×

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Wide ResNet 50

By: Amazon Web Services Latest Version: CPU

Product Overview

This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_wide_resnet/). It takes an image as input and classifies the image to one of the 1000 classes. The model available for deployment is pre-trained on ImageNet (ILSVRC-2012-CLS) which comprises images of 1000 different classes. A list of all the class labels can be accessed at [ImageNetLabels](https://storage.googleapis.com/download.tensorflow.org/data/ImageNetLabels.txt). PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

Key Data

Version
By Amazon Web Services
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

AWS Infrastructure

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Refund Policy

This product is offered for free. If there are any questions, please contact us for further clarifications.

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