{"blog_url":"https://aidiary.hatenablog.com/","author_name":"aidiary","width":"100%","title":"PyTorch (7) VGG16","provider_name":"Hatena Blog","type":"rich","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/a/aidiary/20180212/20180212105510.png","blog_title":"\u4eba\u5de5\u77e5\u80fd\u306b\u95a2\u3059\u308b\u65ad\u5275\u9332","url":"https://aidiary.hatenablog.com/entry/20180212/1518404395","provider_url":"https://hatena.blog","author_url":"https://blog.hatena.ne.jp/aidiary/","height":"190","description":"\u4eca\u56de\u306f\u3001\u5b66\u7fd2\u6e08\u307f\u306eVGG16\u3092\u4f7f\u3063\u3066ImageNet\u306e1000\u30af\u30e9\u30b9\u306e\u753b\u50cf\u5206\u985e\u3092\u8a66\u3057\u3066\u307f\u305f\u3002\u4ee5\u524d\u3001Keras\u3067\u3084\u3063\u305f\uff082017/1/4\uff09\u3053\u3068\u306ePyTorch\u7248\u3002 180208-vgg16.ipynb - Google \u30c9\u30e9\u30a4\u30d6 import torch import torch.nn as nn import torch.optim as optim from torch.autograd import Variable import torchvision from torchvision import datasets, models, transforms import json imp\u2026","published":"2018-02-12 11:59:55","version":"1.0","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Faidiary.hatenablog.com%2Fentry%2F20180212%2F1518404395\" title=\"PyTorch (7) VGG16 - \u4eba\u5de5\u77e5\u80fd\u306b\u95a2\u3059\u308b\u65ad\u5275\u9332\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","categories":["PyTorch","Deep Learning"]}