Comments (1)
Could this be due to CIFAR100, not ImgNet?
from pytorch-cifar100.
Related Issues (20)
- onnx runtime result different with checkpoint
- Do i need to change base LR according to batch size?
- can tensorboard file be resumed?
- Cannot achieve the comparable accuracy results with the provided HOT 3
- Can you provide well-trained weights
- Beautiful Readme table !
- Can you provide the pretrained models like vgg, resnet please?
- Is there some pre-trained weights that can be used to test models,like googlenet and ResNeXt?
- Is Cifar-100 classes a subset of Imagnet Classes HOT 1
- There is one more Relu operation in the residual module of SEnet.
- Multi GPU Use? HOT 1
- cuda version
- Problems about the architecture of Attention.
- Image model
- Please tell me how to use other data sets, which are csv files
- > 我也有这个问题,作者的实现的差不多5个G,测试准确率有78.9, pytorch官方实现差不多1.4个G,测试集准确率也只有60%,,请问有看到问题在哪吗? HOT 1
- Have questions about function “_make_layer ” ,add layers why is *for stride in strides, not for i in range(0, num_blocks):
- no inception_resnet_v2model
- ResNet50 to one single Colaboratory file. Train the model and determine the type 1 and type 5 errors for testing.
- error when training, using the CIFAR100 dataset writing by dataset.py HOT 1
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from pytorch-cifar100.