{"id":50,"date":"2013-10-06T02:22:50","date_gmt":"2013-10-05T17:22:50","guid":{"rendered":"https:\/\/www.dogrow.net\/nnet\/?p=50"},"modified":"2025-06-11T22:49:05","modified_gmt":"2025-06-11T13:49:05","slug":"blog5","status":"publish","type":"post","link":"https:\/\/www.dogrow.net\/nnet\/blog5\/","title":{"rendered":"(5) EPOCH\u6570\u3092\u5897\u3084\u3057\u3066\u6b63\u89e3\u7387\u4e0a\u6607"},"content":{"rendered":"<h1 class=\"my_h\">1. \u5b9f\u9a13\u5185\u5bb9<\/h1>\n<p>\u4e0b\u8a18\u6295\u7a3f\u306e\u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u521d\u7248\u3067\u306f\u30011EPOCH\u3067 90%\u524d\u5f8c\u306e\u6b63\u89e3\u7387\u3060\u3063\u305f\u3002<br \/>\n<a href=\"https:\/\/www.dogrow.net\/nnet\/blog4\/\" target=\"_blank\" rel=\"noopener noreferrer\">(4) \u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u306e\u521d\u7248\u306f\u6b63\u89e3\u738791%<\/a><\/p>\n<p>\u4eca\u56de\u306f EPOCH\u6570\u3092\u5897\u3084\u3057\u3066\u6b63\u89e3\u7387\u306e\u5411\u4e0a\u3092\u76ee\u8ad6\u3080\u3002<br \/>\n\u5bfe\u8c61\u306f\u3001\u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u521d\u7248\u306e\u5b9f\u9a13\u3067 90.8%(1EPOCH)\u306e\u30b9\u30b3\u30a2\u3092\u51fa\u3057\u305f [784]-[64]-[10]\u306e\u5c64\u69cb\u6210\u3068\u3059\u308b\u3002<br \/>\n\u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u521d\u7248\u30d7\u30ed\u30b0\u30e9\u30e0\u304b\u3089\u306e\u5909\u66f4\u306f\u3001\u5b66\u7fd2\u3068\u30c6\u30b9\u30c8\u3092\u6307\u5b9aEPOCH\u6570\u5206\u7e70\u308a\u8fd4\u3059\u3088\u3046\u306b\u3057\u305f\u3060\u3051\u3002<\/p>\n<h1 class=\"my_h\">2. \u5b9f\u9a13\u7d50\u679c<\/h1>\n<p>\u521d\u56de\u306e\u6b63\u89e3\u7387\u304c 90.8%\u300134\u56de\u76ee\u306b\u306f <span class=\"my_fc_blueBBig\">96.5%<\/span> \u307e\u3067\u4e0a\u6607\u3057\u305f\u3002<br \/>\n<img decoding=\"async\" alt=\"https:\/\/www.dogrow.net\/nnet\/wp-content\/uploads\/2013\/10\/20131006_01.png\" src=\"https:\/\/www.dogrow.net\/nnet\/wp-content\/uploads\/2013\/10\/20131006_01.png\" \/><\/p>\n<pre class='my_pre_octave'>\r\nEPOCH No.1\r\n[ 0]  949 \/  980 ( 96.8%) \r\n[ 1] 1109 \/ 1135 ( 97.7%) \r\n[ 2]  907 \/ 1032 ( 87.9%) \r\n[ 3]  901 \/ 1010 ( 89.2%) \r\n[ 4]  898 \/  982 ( 91.4%) \r\n[ 5]  745 \/  892 ( 83.5%) \r\n[ 6]  898 \/  958 ( 93.7%) \r\n[ 7]  929 \/ 1028 ( 90.4%) \r\n[ 8]  859 \/  974 ( 88.2%) \r\n[ 9]  888 \/ 1009 ( 88.0%) \r\nTotal  9083 \/ 10000 ( 90.8%)\r\n<\/pre>\n<pre class='my_pre_octave'>\r\nEPOCH No.34\r\n[ 0]  966 \/  980 ( 98.6%) \r\n[ 1] 1120 \/ 1135 ( 98.7%) \r\n[ 2]  991 \/ 1032 ( 96.0%) \r\n[ 3]  974 \/ 1010 ( 96.4%) \r\n[ 4]  956 \/  982 ( 97.4%) \r\n[ 5]  860 \/  892 ( 96.4%) \r\n[ 6]  929 \/  958 ( 97.0%) \r\n[ 7]  983 \/ 1028 ( 95.6%) \r\n[ 8]  923 \/  974 ( 94.8%) \r\n[ 9]  953 \/ 1009 ( 94.4%) \r\nTotal  9655 \/ 10000 ( 96.5%)\r\n<\/pre>\n<h1 class=\"my_h\">3. \u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9<\/h1>\n<p>\u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u521d\u7248\u304b\u3089\u306e\u5909\u66f4\u70b9\u306f\u4e0b\u8a18\u306e2\u70b9\u306e\u307f\u3002<br \/>\n(1)\u30b3\u30de\u30f3\u30c9\u30e9\u30a4\u30f3\u5f15\u6570\u3067EPOCH\u6570\u3092\u6307\u5b9a\u53ef\u80fd\u3068\u3057\u305f\u3002<br \/>\n(2)\u5b66\u7fd2\u3001\u30c6\u30b9\u30c8\u3092\u6307\u5b9aEPOCH\u6570\u5206\u7e70\u308a\u8fd4\u3059\u3088\u3046\u306b\u3057\u305f\u3002<\/p>\n<p>NNET_control.m \u203b\u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u521d\u7248\u304b\u3089\u306e\u5909\u66f4\u306f\u3053\u306e1\u30d5\u30a1\u30a4\u30eb\u306e\u307f\u3002<\/p>\n<pre class=\"brush: matlabkey; title: ; notranslate\" title=\"\">\r\nfunction NNET_control( num_unit_of_each_layer, num_EPOCH )\r\n\r\n  % \u5b66\u7fd2\u753b\u50cf\u30fb\u30e9\u30d9\u30eb\u3001\u30c6\u30b9\u30c8\u753b\u50cf\u30fb\u30e9\u30d9\u30eb\u3092\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u8aad\u307f\u8fbc\u307f\r\n  &#x5B;train_img, train_lbl] = load_MNIST( &#039;..\/data\/train-images-idx3-ubyte&#039;, &#039;..\/data\/train-labels-idx1-ubyte&#039; );\r\n  &#x5B;test_img,  test_lbl ] = load_MNIST( &#039;..\/data\/t10k-images-idx3-ubyte&#039;,  &#039;..\/data\/t10k-labels-idx1-ubyte&#039;  );\r\n\r\n  % \u5404\u753b\u50cf\u30c7\u30fc\u30bf\u3092 0.0\uff5e1.0\u306e\u7bc4\u56f2\u306b\u6b63\u898f\u5316\r\n  train_img = train_img \/ 255;\r\n  test_img  = test_img  \/ 255;\r\n\r\n  % \u6307\u5b9a\u3055\u308c\u305f\u5c64\u6570\u3001\u30e6\u30cb\u30c3\u30c8\u6570\u3067\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u4f5c\u6210\r\n  nn = NNET_setup( num_unit_of_each_layer );\r\n\r\n  % \u6b63\u89e3\u7387\u8a18\u9332\u7528\u9818\u57df\u3092\u78ba\u4fdd\r\n  accuracy = zeros(num_EPOCH,1);\r\n\r\n  % \u6307\u5b9aEPOCH\u56de\u6570\u3060\u3051\u7e70\u308a\u8fd4\u3059\r\n  for epoch=1 : num_EPOCH\r\n\r\n    % \u5b66\u7fd2\u5b9f\u884c\r\n    nn = NNET_learn( nn, train_img, train_lbl );\r\n\r\n    % \u30c6\u30b9\u30c8\u5b9f\u884c\r\n    result = NNET_test( nn, test_img, test_lbl );\r\n\r\n    % \u30c6\u30b9\u30c8\u7d50\u679c\u3092\u8868\u793a\r\n    printf(&#039;\\nEPOCH No.%d\\n&#039;, epoch);\r\n    for i=1: 10\r\n      printf(&#039;&#x5B;%2d] %4d \/ %4d (%5.1f%%) \\n&#039;, i-1, result(i,2), result(i,1), result(i,2)\/result(i,1)*100);\r\n    end\r\n    sum_result = sum(result,1);\r\n    printf(&#039;Total %5d \/ %5d (%5.1f%%) \\n&#039;, sum_result(2), sum_result(1), sum_result(2)\/sum_result(1)*100);\r\n    fflush(1);\r\n\r\n    % \u6b63\u89e3\u7387\u3092CSV\u30d5\u30a1\u30a4\u30eb\u306b\u51fa\u529b\r\n    if exist(&#039;accuracy.csv&#039;,&#039;file&#039;)~=0\r\n      delete(&#039;accuracy.csv&#039;);\r\n    end\r\n    accuracy(epoch) = sum_result(2)\/sum_result(1);  % \u6b63\u89e3\u7387\r\n    csvwrite(&#039;accuracy.csv&#039;, accuracy);\r\n\r\n  end\r\nend\r\n<\/pre>\n<p>\u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u521d\u7248\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u3002<br \/>\n<a href=\"https:\/\/www.dogrow.net\/nnet\/blog4\/\" target=\"_blank\" rel=\"noopener noreferrer\">(4) \u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u306e\u521d\u7248\u306f\u6b63\u89e3\u738791%<\/a><\/p>\n<p><a href=\"https:\/\/www.dogrow.net\/nnet\/blog6\/\">\u6b21\u56de\u300c(6) \u81ea\u5206\u306e\u624b\u66f8\u304d\u6587\u5b57\u3092\u8a8d\u8b58\u3055\u305b\u3066\u307f\u308b\u300d\u3067\u306f\u3001MNIST\u753b\u50cf\u3067\u306f\u306a\u304f\u3001\u81ea\u7b46\u306e\u6570\u5b57\u753b\u50cf\u3092\u81ea\u52d5\u8a8d\u8b58\u3055\u305b\u3066\u307f\u308b\u3002<\/a><\/p>\n<hr class=\"my_hr_bottom\">\n","protected":false},"excerpt":{"rendered":"<p>1. \u5b9f\u9a13\u5185\u5bb9 \u4e0b\u8a18\u6295\u7a3f\u306e\u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u521d\u7248\u3067\u306f\u30011EPOCH\u3067 90%\u524d\u5f8c\u306e\u6b63\u89e3\u7387\u3060\u3063\u305f\u3002 (4) \u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u306e\u521d\u7248\u306f\u6b63\u89e3\u738791% \u4eca\u56de\u306f EPOCH\u6570\u3092\u5897\u3084\u3057\u3066\u6b63\u89e3\u7387\u306e\u5411\u4e0a\u3092\u76ee\u8ad6\u3080\u3002 \u5bfe\u8c61\u306f\u3001\u30b7\u30f3\u30d7\u30eb\u69cb\u6210\u521d\u7248\u306e\u5b9f\u9a13\u3067\u2026 <span class=\"read-more\"><a href=\"https:\/\/www.dogrow.net\/nnet\/blog5\/\">\u7d9a\u304d\u3092\u8aad\u3080 &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18,6],"tags":[],"class_list":["post-50","post","type-post","status-publish","format-standard","hentry","category-mnist","category-6"],"views":8770,"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.dogrow.net\/nnet\/wp-json\/wp\/v2\/posts\/50","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dogrow.net\/nnet\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dogrow.net\/nnet\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dogrow.net\/nnet\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dogrow.net\/nnet\/wp-json\/wp\/v2\/comments?post=50"}],"version-history":[{"count":19,"href":"https:\/\/www.dogrow.net\/nnet\/wp-json\/wp\/v2\/posts\/50\/revisions"}],"predecessor-version":[{"id":2537,"href":"https:\/\/www.dogrow.net\/nnet\/wp-json\/wp\/v2\/posts\/50\/revisions\/2537"}],"wp:attachment":[{"href":"https:\/\/www.dogrow.net\/nnet\/wp-json\/wp\/v2\/media?parent=50"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dogrow.net\/nnet\/wp-json\/wp\/v2\/categories?post=50"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dogrow.net\/nnet\/wp-json\/wp\/v2\/tags?post=50"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}