{"id":5038,"date":"2024-05-28T16:57:10","date_gmt":"2024-05-28T07:57:10","guid":{"rendered":"https:\/\/blog.since2020.jp\/?p=5038"},"modified":"2024-05-28T18:25:53","modified_gmt":"2024-05-28T09:25:53","slug":"difference_between_sequential_class_and_self_make_class","status":"publish","type":"post","link":"https:\/\/since2020.jp\/media\/difference_between_sequential_class_and_self_make_class\/","title":{"rendered":"\u3010Pytorch\u3011Sequential\u30af\u30e9\u30b9\u3068\u81ea\u4f5c\u30af\u30e9\u30b9\u306e\u9055\u3044"},"content":{"rendered":"\n

\u300ePyTorch\u300f\u3068\u306f\u3001Facebook\u304c\u958b\u767a\u3092\u4e3b\u5c0e\u3057\u305fPython\u5411\u3051\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u4eca\u56de\u306fPytorch\u306eSequential\u3068\u81ea\u4f5c\u306e\u30af\u30e9\u30b9\u306e\u9055\u3044\u306b\u3064\u3044\u3066\u307f\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n

\u306f\u3058\u3081\u306b<\/h2>\n

\u300ePyTorch\u300f\u3068\u306f\u3001Facebook\u304c\u958b\u767a\u3092\u4e3b\u5c0e\u3057\u305fPython\u5411\u3051\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\r\n

\u4eca\u56de\u306fPytorch\u306eSequential\u3068\u81ea\u4f5c\u306e\u30af\u30e9\u30b9\u306e\u9055\u3044\u306b\u3064\u3044\u3066\u307f\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n

Sequential\u30af\u30e9\u30b9\u3068\u306f<\/h2>\n

Sequential<\/span>\u30af\u30e9\u30b9\u3092\u4f7f\u3046\u3053\u3068\u3067\u3001\u30ec\u30a4\u30e4\u30fc\uff08\u5c64\uff09\u3084\u305d\u306e\u4ed6\u306e\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u9806\u756a\u306b\u7a4d\u307f\u91cd\u306d\u308b\u3053\u3068\u304c\u3067\u304d\u3001\u4e00\u9023\u306e\u64cd\u4f5c\u3092\u76f4\u7dda\u7684\u306b\u5b9f\u884c\u3059\u308b\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n\n

\u81ea\u4f5c\u306e\u30af\u30e9\u30b9\u3092\u4f5c\u308b\u7406\u7531<\/h2>\n

Sequential\u30af\u30e9\u30b9\u306f\u30c7\u30fc\u30bf\u306b\u5fdc\u3058\u3066\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u5909\u66f4\u3059\u308b\u306a\u3069\u306e\u8907\u96d1\u306a\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u5b9a\u7fa9\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002\u305d\u306e\u3088\u3046\u306a\u5834\u5408\u306b\u81ea\u4f5c\u306e\u30af\u30e9\u30b9\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n\n

Sequential\u30af\u30e9\u30b9<\/h2>\n

\u4ee5\u4e0b\u306fSequential\u30af\u30e9\u30b9\u306e\u8a18\u8ff0\u65b9\u6cd5\u3067\u3059\u3002<\/p>\r\n

\u3010In\u3011<\/p>\r\n

\r\n
nn.Sequential{\r\n    nn.Linear(1000,100),\r\n    nn.ReLU(),\r\n    nn.Linear(100,10)\r\n}<\/code><\/pre>\r\n<\/div>\r\n
\u3010Out\u3011<\/p>\r\n
Sequential(<\/p>\r\n
\u00a0 \u00a0 \u00a0(0): Linear(in_features = 1000, out_features = 100, bias = True)<\/p>\r\n
\u00a0 \u00a0 \u00a0 (1): ReLU()<\/p>\r\n
\u00a0 \u00a0 \u00a0 (2): Linear(in_features = 100, out_features = 10, bias = True)<\/p>\r\n
)<\/p>\r\n
 <\/p>\r\n
ReLU\u306f\u8fd1\u5e74\u591a\u304f\u5229\u7528\u3055\u308c\u3066\u3044\u308b\u6d3b\u6027\u5316\u95a2\u6570\u3067\u3059\u3002<\/p>\n\n
\u81ea\u4f5c\u306e\u30af\u30e9\u30b9<\/h2>\n
\u4ee5\u4e0b\u306f\u81ea\u4f5c\u30af\u30e9\u30b9\u306e\u8a18\u8ff0\u65b9\u6cd5\u3067\u3059\u3002<\/p>\r\n
\u3010In\u3011<\/p>\r\n
\r\n
class Net(nn.Module):\r\n\r\n  def __init__(self):\r\n    super(Net,self).__init__()\r\n    self.linear1 = nn.Linear(1000,100)\r\n    self.lienar2 = nn.Linear(100,10)\r\n\r\n  def forward(self,x):\r\n    x = F.relu(self,x):\r\n    x = self.linear2(x)\r\n    return x\r\n\r\nnet = Net()\r\nprint(net) <\/code><\/pre>\r\n<\/div>\r\n
Net(<\/p>\r\n
\u00a0 \u00a0 \u00a0(linear1): Linear(in_features = 1000, out_features = 10, bias = True)<\/p>\r\n
\u00a0 \u00a0 \u00a0 (linear2): Linear(in_features = 100, out_features = 10, bias = True)<\/p>\r\n
 <\/p>\r\n
\u81ea\u4f5c\u30af\u30e9\u30b9\u3092\u4f5c\u6210\u3059\u308b\u969b\u306b\u306f\u3001nn.Module\u304b\u3089\u30af\u30e9\u30b9\u3092\u7d99\u627f\u3057\u3001__init__\u3067\u521d\u671f\u5316\u3057\u307e\u3059\u3002<\/p>\r\n
\u9806\u4f1d\u64ad\u306e\u8a08\u7b97\u306fforward\u306b\u8a18\u8ff0\u3057\u307e\u3059\u3002\u305d\u3046\u3059\u308b\u3053\u3068\u3067\u81ea\u52d5\u5fae\u5206\u307e\u3067\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n
\u307e\u3068\u3081<\/h2>\n
\u4eca\u56de\u306fPytorch\u306eSequential\u30af\u30e9\u30b9\u3068\u81ea\u4f5c\u306e\u30af\u30e9\u30b9\u306e\u9055\u3044\u306b\u3064\u3044\u3066\u307f\u3066\u3044\u304d\u307e\u3057\u305f\u3002<\/p>\r\n
\u81ea\u4f5c\u306e\u30af\u30e9\u30b9\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3067\u3001\u3088\u308a\u8907\u96d1\u306a\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u69cb\u7bc9\u3067\u304d\u308b\u3053\u3068\u304c\u5206\u304b\u308a\u307e\u3057\u305f\u3002<\/p>","protected":false},"excerpt":{"rendered":"
\u300ePyTorch\u300f\u3068\u306f\u3001Facebook\u304c\u958b\u767a\u3092\u4e3b\u5c0e\u3057\u305fPython\u5411\u3051\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u4eca\u56de\u306fPytorch\u306eSequential\u3068\u81ea\u4f5c\u306e\u30af\u30e9\u30b9\u306e\u9055\u3044\u306b\u3064\u3044\u3066\u307f\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002 \u306f\u3058\u3081\u306b \u300ePyTorch […]<\/p>\n","protected":false},"author":19,"featured_media":4262,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","swell_btn_cv_data":"","footnotes":"","_wp_rev_ctl_limit":""},"categories":[1249],"tags":[331,630,419],"class_list":["post-5038","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-knowledge","tag-python","tag-pytorch","tag-419"],"_links":{"self":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts\/5038","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/comments?post=5038"}],"version-history":[{"count":0,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts\/5038\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/media\/4262"}],"wp:attachment":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/media?parent=5038"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/categories?post=5038"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/tags?post=5038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}