vgg16_bn-6c64b313.pth 人工智能 - 深度学习 Ed**离殇上传490.26 MB文件格式zip bn (0)踩踩(0) 所需:15积分
pre = torch.load('./pretrain/vgg16_bn-6c64b313.pth') for key, v in pre.items(): print(key, v.size()) 1. 2. 3. 加載得到的是VGG網絡參數,可以將其輸出查看,這裏只顯示其size features.0.weight torch.Size([64, 3, 3, 3]) features.0.bias torch.Size([64]) features.1.weight ...
# Pytorch 0.4.0 VGG16实现cifar10分类. # @Time: 2018/6/23 # @Author: xfLi import torch import torch.nn as nn import math import torchvision.transforms as transforms import torchvision as tv from torch.utils.data import DataLoader model_path = './model_pth/vgg16_bn-6c64b313.pth' BATCH...
dcbb9e9d.pth, v 11_ bn: https://download.pytorch.or /models/v 11_ bn-6002323d.pth, v 13_ bn: https://download.pytorch.or /models/v 13_ bn-abd245e5.pth, v 16_ bn: https://download.pytorch.or /models/v 16_ bn-6c64b313.pth, v 19_ bn: https://download.pytorch.or /...
The file “vgg16-397923af.pth“ we downloaded is a pre-trained model pretrained in Pytroch environment ! it doesn't be pretrained in the Caffe ! So after we download the vgg16-397923af.pth file into "checkpoints" folder , and we dont need to make the "python misc/convert_caffe_pretra...
这是因为应该使用的结构是vgg16_bn的结构,否则就没有bn层,改模型为https://download.pytorch.org/models/vgg16_bn-6c64b313.pth 又报错: Traceback (most recent call last): File"./run/vgg16/vgg16_prune_demo.py", line137,in <module>run() ...
更新了BN层加入了SE注意力机制模块,对原有swich非线性激活函数修改为h-swich函数。 MobileV3-small模型 二、MobileNetV3-small的实现 利用VOC-devkit2012数据集中有关垃圾的数据集作为数据集,训练MobileNetV3-small模型,下面代码来自于pytorch官网,博主对代码进行标注。