搜索【resnet】的结果

pytorch pretrain Resnet resnet18-5c106cde.pth

resnet18-5c106cde.pth

2020-02-13 03:07:48 44.66MB pytorc resnet

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resnet34-333f7ec4.pth

2020-01-11 03:06:49 83.26MB pytorc resnet

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pytorch resnet 152 模型参数数据

pytorch resnet 152 模型参数数据，是pth格式的文件。

2020-01-03 11:35:27 215.53MB pytorch resnet

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resnet各种预训练模型

resnet预训练模型有resnet18.caffemodel，resnet50.caffemodel，resnet101.caffemodel，resnet152.caffemodel

2020-01-03 11:33:05 508.41MB resnet caffemodel

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res10_300x300_ssd_iter_140000.caffemodel与deploy.prototxt

2020-01-03 11:25:30 9.57MB resnet

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ResNet-50-model.caffemodel

ImageNet pre-trained ResNet-50的caffemodel 来源：https://github.com/KaimingHe/deep-residual-networks中提供的OneDrive链接

2019-12-21 22:21:42 90.74MB ResNet caffemodel

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resnet_v1_101

resnet_101 残差网络101层，训练好的参数。真实有效，欢迎下载

2019-12-21 21:59:45 158.02MB resnet 残差网络

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keras_conv_lstm分类例子

keras_分类例子，深度学习专用，代码简单，

2019-12-21 21:57:42 5KB keras cifar10 resnet 分类

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Deeplab-v2中vgg和resnet的模型文件

从官网下载的Deeplab-v2中vgg和resnet的模型文件，包括caffemodel以及prototxt

2019-12-21 21:31:59 203B deeplab-v2 vgg resnet prototxt

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残差网络图像分类复现 tensorflow1.2.0以上

网络环境:ubuntu系统下,python3.4以上,tensorflow1.12.0以上.需要自己训练 * Random split 50k training set into 45k/5k train/eval split. * Pad to 36x36 and random crop. Horizontal flip. Per-image whitening. * Momentum optimizer 0.9. * Learning rate schedule: 0.1 (40k), 0.01 (60k), 0.001 (>60k). * L2 weight decay: 0.002. * Batch size: 128. (28-10 wide and 1001 layer bottleneck use 64)

2019-12-21 21:31:40 38KB Reproduced ResNet ;

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