deep-learningtensorflowkerascnn-classificationtiny-imagenettiny-imagenet-challengeimaug UpdatedAug 18, 2019 Jupyter Notebook Image Classification Training Framework for Network Distillation deep-learningpytorchmnistimagenetimage-classificationresnetsqueezenetaircraftsknowledge-distillationcifar100mobilenetshufflenetfine-gr...
11.8 Million parameters , 108 epochs,batch size=128 这两种网络的验证准确度均高于Shallow ConvNets [7]和ResNet-18(无Dropout)模型[9],并且非常接近最先进的ResNet-18(具有各种Dropout技术)模型[10]]。 Error Analysis 3个主要原因: 图像的低分辨率, 图像中主要实体的误解, 类似项目的混淆。 通过正确和错误...
Usability info 1.88 License Unknown Expected update frequency Not specified Tags An error occurred: Unexpected end of JSON input lightbulb See what others are saying about this dataset What have you used this dataset for? How would you describe this dataset?
After 75 training epochs on Tiny Imagenet ResKANet 18 with Kolmogorov Arnold Legendre convolutions achieved 28.62% accuracy, 55.49% top-5 accuracy, and 0.932 AUC (OVO). Please, take into account that these are preliminary results and more experiments are in progress right now. DenseKANets We...
#解压例程 import zipfile import os # file_name = 'data/data23023/tiny-imagenet.zip' file_pretrained = '/home/aistudio/data/data6487/ResNet50_pretrained.zip' # save_path = 'work/dataset' save_path_pretrained = 'work/model' def un_zip(file_pretrained): """unzip zip file""" zip_fil...
tiny-imagenet-200 Data CardCode (7)Discussion (0)Suggestions (1) About Dataset No description available Usability info 1.88 License Unknown Expected update frequency Not specified Tags tiny-imagenet-200(3 directories, 2 files) fullscreen
() import cifar as dataloader # import owm as approach # import cnn_owm as network #from minimodel import net as s_model from Resnet18 import resnet18 as b_model from buffer import Buffer as buffer # imagenet200 import SequentialTinyImagenet as STI from torch.optim import Adam, SGD #...
After 75 training epochs on Tiny Imagenet ResKANet 18 with Kolmogorov Arnold Legendre convolutions achieved 28.62% accuracy, 55.49% top-5 accuracy, and 0.932 AUC (OVO). Please, take into account that these are preliminary results and more experiments are in progress right now. DenseKANets We...