benchmarking-keras-pytorch:Ke可重复基准化Keras和PyTorch模型 （120个子文件） 
consensus4.csv 4KB consensus3.csv 4KB cleaned_and_corrected_3.csv 4KB cleaned_and_corrected_5.csv 4KB cleaned_and_corrected_4.csv 4KB consensus5_464.csv 4KB consensus5.csv 4KB test_noise_removed_4.csv 3KB test_noise_removed_5.csv 3KB test_noise_removed_3.csv 3KB cleaned_and_corrected_4.csv 1KB cleaned_and_corrected_5.csv 1KB cleaned_and_corrected_3.csv 1KB consensus4.csv 1KB test_noise_removed_5.csv 1KB test_noise_removed_3.csv 1KB test_noise_removed_4.csv 1KB consensus3.csv 1KB consensus5.csv 1KB .gitignore 8B LICENSE 1KB README.md 9KB inceptionv3_keras_imagenet_top5preds.npy 1.91MB xception_keras_imagenet_top5preds.npy 1.91MB vgg16_keras_imagenet_top5preds.npy 1.91MB densenet201_keras_imagenet_top5preds.npy 1.91MB inceptionresnetv2_keras_imagenet_top5preds.npy 1.91MB densenet121_keras_imagenet_top5preds.npy 1.91MB densenet169_keras_imagenet_top5preds.npy 1.91MB mobilenetV2_keras_imagenet_top5preds.npy 1.91MB nasnetlarge_keras_imagenet_top5preds.npy 1.91MB resnet50_keras_imagenet_top5preds.npy 1.91MB vgg19_keras_imagenet_top5preds.npy 1.91MB mobilenet_keras_imagenet_top5preds.npy 1.91MB nasnetmobile_keras_imagenet_top5preds.npy 1.91MB resnet18_pytorch_imagenet_top5preds.npy 1.91MB densenet121_pytorch_imagenet_top5preds.npy 1.91MB densenet169_pytorch_imagenet_top5preds.npy 1.91MB vgg16_pytorch_imagenet_top5preds.npy 1.91MB vgg11_pytorch_imagenet_top5preds.npy 1.91MB squeezenet1_1_pytorch_imagenet_top5preds.npy 1.91MB vgg16_bn_pytorch_imagenet_top5preds.npy 1.91MB resnet50_pytorch_imagenet_top5preds.npy 1.91MB densenet161_pytorch_imagenet_top5preds.npy 1.91MB vgg19_bn_pytorch_imagenet_top5preds.npy 1.91MB resnet152_pytorch_imagenet_top5preds.npy 1.91MB alexnet_pytorch_imagenet_top5preds.npy 1.91MB densenet201_pytorch_imagenet_top5preds.npy 1.91MB resnet34_pytorch_imagenet_top5preds.npy 1.91MB vgg13_bn_pytorch_imagenet_top5preds.npy 1.91MB squeezenet1_0_pytorch_imagenet_top5preds.npy 1.91MB vgg11_bn_pytorch_imagenet_top5preds.npy 1.91MB vgg19_pytorch_imagenet_top5preds.npy 1.91MB vgg13_pytorch_imagenet_top5preds.npy 1.91MB inception_v3_pytorch_imagenet_top5preds.npy 1.91MB resnet101_pytorch_imagenet_top5preds.npy 1.91MB mobilenet_keras_imagenet_top5probs.npy 977KB mobilenetV2_keras_imagenet_top5probs.npy 977KB nasnetlarge_keras_imagenet_top5probs.npy 977KB vgg19_keras_imagenet_top5probs.npy 977KB resnet50_keras_imagenet_top5probs.npy 977KB inceptionv3_keras_imagenet_top5probs.npy 977KB densenet169_keras_imagenet_top5probs.npy 977KB densenet121_keras_imagenet_top5probs.npy 977KB xception_keras_imagenet_top5probs.npy 977KB inceptionresnetv2_keras_imagenet_top5probs.npy 977KB vgg16_keras_imagenet_top5probs.npy 977KB densenet201_keras_imagenet_top5probs.npy 977KB nasnetmobile_keras_imagenet_top5probs.npy 977KB inception_v3_pytorch_imagenet_top5probs.npy 977KB densenet169_pytorch_imagenet_top5probs.npy 977KB squeezenet1_1_pytorch_imagenet_top5probs.npy 977KB resnet18_pytorch_imagenet_top5probs.npy 977KB densenet121_pytorch_imagenet_top5probs.npy 977KB vgg11_pytorch_imagenet_top5probs.npy 977KB densenet161_pytorch_imagenet_top5probs.npy 977KB vgg13_pytorch_imagenet_top5probs.npy 977KB vgg16_pytorch_imagenet_top5probs.npy 977KB resnet101_pytorch_imagenet_top5probs.npy 977KB resnet50_pytorch_imagenet_top5probs.npy 977KB densenet201_pytorch_imagenet_top5probs.npy 977KB vgg11_bn_pytorch_imagenet_top5probs.npy 977KB resnet34_pytorch_imagenet_top5probs.npy 977KB vgg19_bn_pytorch_imagenet_top5probs.npy 977KB vgg13_bn_pytorch_imagenet_top5probs.npy 977KB vgg19_pytorch_imagenet_top5probs.npy 977KB squeezenet1_0_pytorch_imagenet_top5probs.npy 977KB vgg16_bn_pytorch_imagenet_top5probs.npy 977KB alexnet_pytorch_imagenet_top5probs.npy 977KB resnet152_pytorch_imagenet_top5probs.npy 488KB vgg11_bn_pytorch_cifar10_top5preds.npy 391KB resnet50_pytorch_cifar10_top5preds.npy 391KB resnet34_pytorch_cifar10_top5preds.npy 391KB resnet18_pytorch_cifar10_top5preds.npy 391KB inception_v3_pytorch_cifar10_top5preds.npy 391KB densenet121_pytorch_cifar10_top5preds.npy 391KB densenet169_pytorch_cifar10_top5preds.npy 391KB vgg13_bn_pytorch_cifar10_top5preds.npy 391KB googlenet_pytorch_cifar10_top5preds.npy 391KB vgg16_bn_pytorch_cifar10_top5preds.npy 391KB共 120 条
- 1
- 2
资源评论
起飞页
- 粉丝: 26
- 资源: 4543
最新资源
- 基于Matlab面板版的打地鼠游戏[Matlab面板版].zip
- 基于Matlab面板版的车牌识别系统设计[Matlab面板版].zip
- 机械臂仿真Matlab面板版[Matlab面板版].zip
- 【Unity游乐园场景资源】Amusement Park - Low Poly Asset Pack by ithappy
- Python百度翻译网页版GUI工具
- TED TAKL分享-《AIGC-人工智能生成内容大揭秘》-IT部-V2.pptx
- 由https://download.csdn.net/download/weixin-45944596/89887488的算法
- 技术资料分享ARM9嵌入式技术及嵌入式Linux高级实验教程.zip
- 技术资料分享ARM.linux无线通讯实验AT91.zip
- Matlab车型识别系统[Matlab面板版].zip
资源上传下载、课程学习等过程中有任何疑问或建议，欢迎提出宝贵意见哦~我们会及时处理！
点击此处反馈
