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hispark-modelzoo-resnet101 – AI Model by shadow-cann | AlphaNeural AI
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hispark-modelzoo-resnet101
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ResNet101
ResNet是ImageNet竞赛中分类问题效果较好的网络,它引入了残差学习的概念,通过增加直连通道来保护信息的完整性,解决信息丢失、梯度消失、梯度爆炸等问题,让很深的网络也得以训练。ResNet有不同的网络层数,常用的有18-layer、34-layer、50-layer、101-layer、152-layer。
Mirror Metadata
Hugging Face repo: shadow-cann/hispark-modelzoo-resnet101
Portal model id: h8eivmf56c00
Created at: 2025-09-13 18:06:31
Updated at: Unknown
Category: 计算机视觉
Framework
PyTorch
Supported OS
OpenHarmony
Linux
Computing Power
Hi3403V100 SVP_NNN
Hi3403V100 NNN
Tags
分类
Detail Parameters
输入: 224x224
参数量: 44.496M
计算量: 15.686GFLOPs
Files In This Repo
resnet101.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据; 编译模型 / OM 元数据 / a8w8)
resnet101-63fe2227.pth (源模型 / 源模型下载; 源模型 / 源模型元数据)
SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)
Upstream Links
Portal card:
https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=h8eivmf56c00
Upstream repository:
https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/ResNet101
License reference:
https://github.com/pytorch/vision/blob/v0.14.0/LICENSE
Notes
This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
File ownership follows the portal card mapping, not just filename similarity.
Cover image: 1700943569813507_res101.png