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Resnet

ONNX model

  • Version 1:
    Resnet-18 ; Size: 5MB
    Resnet-34 ; Size: 5MB
    Resnet-50 ; Size: 5MB
    Resnet-101 ; Size: 5MB
    Resnet-152 ; Size: 5MB

  • Version 2:
    Resnet-18 ; Size: 5MB
    Resnet-34 ; Size: 5MB
    Resnet-50 ; Size: 5MB
    Resnet-101 ; Size: 5MB
    Resnet-152 ; Size: 5MB

MMS archive

  • Version 1:
    Resnet-18 ; Size: 5MB
    Resnet-34 ; Size: 5MB
    Resnet-50 ; Size: 5MB
    Resnet-101 ; Size: 5MB
    Resnet-152 ; Size: 5MB

  • Version 2:
    Resnet-18 ; Size: 5MB
    Resnet-34 ; Size: 5MB
    Resnet-50 ; Size: 5MB
    Resnet-101 ; Size: 5MB
    Resnet-152 ; Size: 5MB

Inference example notebook (How to use the models)

View the notebook to understand how to use above models for doing inference.

Training notebook

View the notebook that can be used for training here. The notebook contains details for parameters and network for each of the above variants of Resnet.

Paper

Resnet-v1
Deep residual learning for image recognition
He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778. 2016.

Resnet-v2
Identity mappings in deep residual networks
He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. In European Conference on Computer Vision, pp. 630-645. Springer, Cham, 2016.

Dataset

ILSVRC2012
Jump here to see how to prepare imagenet 2012 dataset for training

Accuracy measures

Tags

Verify validation accuracy