{"id":4895,"date":"2020-10-23T22:20:24","date_gmt":"2020-10-23T13:20:24","guid":{"rendered":"https:\/\/transynk.co.jp\/?post_type=blog&p=4895"},"modified":"2024-06-17T22:42:54","modified_gmt":"2024-06-17T13:42:54","slug":"tensorflow","status":"publish","type":"blog","link":"https:\/\/transynk.co.jp\/en\/blog\/tensorflow\/","title":{"rendered":"\u301030\u500b\u7d39\u4ecb\u3011\u6a5f\u68b0\u5b66\u7fd2\u5411\u3051TensorFlow\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8"},"content":{"rendered":"

TensorFlow\u3068\u306f<\/h3><\/div>

Google Brain\u7814\u7a76\u8005\u304c\u958b\u767a\u3057\u305fTensorFlow\uff08\u30c6\u30f3\u30bd\u30eb\u30d5\u30ed\u30fc\uff09\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u304a\u3088\u3073\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u7528\u306e\u6700\u5927\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30fb\u30c7\u30fc\u30bf\u30e9\u30a4\u30d6\u30e9\u30ea<\/a>\u306e\u4e00\u3064\u3067\u3059\u3002\u307e\u3063\u305f\u304f\u306e\u521d\u5fc3\u8005\u304b\u3089\u7d4c\u9a13\u8c4a\u5bcc\u306a\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u307e\u3067\u3001\u8ab0\u306b\u3067\u3082\u5f79\u7acb\u3064\u30a8\u30f3\u30c9\u30c4\u30fc\u30a8\u30f3\u30c9\u306e\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067\u3059\u3002TensorFlow\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u306f\u3001\u30c4\u30fc\u30eb\u3084\u4e8b\u524d\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u3001\u6a5f\u68b0\u5b66\u7fd2\u7528\u30ac\u30a4\u30c9\u306e\u307b\u304b\u3001\u30aa\u30fc\u30d7\u30f3\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30b3\u30fc\u30d1\u30b9\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u5fc5\u8981\u306a\u6559\u5e2b\u30c7\u30fc\u30bf\u3092\u898b\u3064\u3051\u308b\u969b\u306b\u5f79\u7acb\u3064\u3088\u3046\u306b\u3001\u6700\u3082\u898f\u6a21\u306e\u5927\u304d\u3044\u6a5f\u68b0\u5b66\u7fd2\u7528TensorFlow\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u3044\u304f\u3064\u304b\u53d6\u308a\u4e0a\u3052\u3066\u7c21\u5358\u306b\u3054\u7d39\u4ecb\u3044\u305f\u3057\u307e\u3059\u3002\u753b\u50cf\u3001\u52d5\u753b\u3001\u97f3\u58f0\u3001\u30c6\u30ad\u30b9\u30c8\u306b\u5206\u985e\u3057\u3066\u30ea\u30b9\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002<\/p>\n<\/div>

<\/div><\/div>

TensorFlow\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\uff08\u753b\u50cf\uff09<\/h3><\/div>
    \n
  1. CelebA<\/a>: \u516c\u958b\u3055\u308c\u3066\u3044\u308b\u753b\u50cf\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u3046\u3061\u6700\u5927\u306e\u3082\u306e\u306e\u4e00\u3064\u300220\u4e07\u4ef6\u4ee5\u4e0a\u306e\u6709\u540d\u4eba\u306e\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u9854\u306e\u5c5e\u6027\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u5404\u753b\u50cf\u306b\u306f\u3001\u9854\u30e9\u30f3\u30c9\u30de\u30fc\u30af5\u500b\u3068\u30d0\u30a4\u30ca\u30ea\u5c5e\u6027\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f340\u500b\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
  2. Downsampled Imagenet<\/a>: \u5bc6\u5ea6\u63a8\u5b9a\u304a\u3088\u3073\u751f\u6210\u30e2\u30c7\u30eb\u306e\u30bf\u30b9\u30af\u7528\u306b\u69cb\u7bc9\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u7269\u4f53\u3001\u30b7\u30fc\u30f3\u3001\u8eca\u3001\u4eba\u306a\u3069130\u4e07\u4ef6\u4ee5\u4e0a\u306e\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u300232\u00d732\u30d4\u30af\u30bb\u30eb\u306864\u00d764\u30d4\u30af\u30bb\u30eb\u306e2\u7a2e\u985e\u306e\u89e3\u50cf\u5ea6\u3067\u5229\u7528\u53ef\u80fd\u3002<\/li>\n
  3. Lsun<\/a>: \u30b7\u30fc\u30f3\u8a8d\u8b58\u7528\u306b\u4f5c\u6210\u3055\u308c\u305f\u5927\u898f\u6a21\u306a\u753b\u50cf\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002900\u4e07\u4ef6\u4ee5\u4e0a\u306e\u753b\u50cf\u304c\u5bdd\u5ba4\u3001\u6559\u5ba4\u3001\u30c0\u30a4\u30cb\u30f3\u30b0\u30eb\u30fc\u30e0\u306a\u3069\u306e\u30b7\u30fc\u30f3\u306b\u5206\u985e\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
  4. Bigearthnet<\/a>: \u30bb\u30f3\u30c1\u30cd\u30eb2\u53f7\u304b\u3089\u306e\u885b\u661f\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u5927\u898f\u6a21\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u5404\u753b\u50cf\u306f\u30011.2 km x 1.2 km\u306e\u5730\u8868\u3092\u30ab\u30d0\u30fc\u3057\u3066\u304a\u308a\u300143\u7a2e\u985e\u306e\u30e9\u30d9\u30eb\u304c\u4e0d\u5747\u8861\u306b\u4ed8\u4e0e\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
  5. Places 365<\/a>: \u305d\u306e\u540d\u306e\u901a\u308a\u3001\u69d8\u3005\u306a\u5834\u6240\u3084\u30b7\u30fc\u30f3\u306e\u753b\u50cf180\u4e07\u4ef6\u4ee5\u4e0a\u3092\u96c6\u3081\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u30aa\u30d5\u30a3\u30b9\u3001\u685f\u6a4b\u3001\u30b3\u30c6\u30fc\u30b8\u306a\u3069\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u304c\u542b\u307e\u308c\u308b\u3002\u30b7\u30fc\u30f3\u8a8d\u8b58\u30bf\u30b9\u30af\u306b\u5229\u7528\u3067\u304d\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u3057\u3066\u306f\u6700\u5927\u306e\u3082\u306e\u306e\u4e00\u3064\u3002<\/li>\n
  6. \u30af\u30a4\u30c3\u30af\u30c9\u30ed\u30fc\u30fb\u30d3\u30c3\u30c8\u30de\u30c3\u30d7<\/a>: \u30af\u30a4\u30c3\u30af\u30c9\u30ed\u30fc\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u30af\u30a4\u30c3\u30af\u30c9\u30ed\u30fc\u306e\u30e6\u30fc\u30b6\u30fc\u304c\u63cf\u3044\u305f\u3001345\u7a2e\u985e\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u308f\u305f\u308b500\u4e07\u4ef6\u306e\u753b\u50cf\u304b\u3089\u69cb\u6210\u3055\u308c\u308b\u3002\u30af\u30a4\u30c3\u30af\u30c9\u30ed\u30fc\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4e00\u90e8\u3067\u3042\u308b\u3053\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306b\u306f\u300128 x 28\u30d4\u30af\u30bb\u30eb\u306e\u30b0\u30ec\u30fc\u30b9\u30b1\u30fc\u30eb\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
  7. SVHN Cropped\uff08\u30c8\u30ea\u30df\u30f3\u30b0\u6e08\u307f\u5bb6\u5c4b\u756a\u5730\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\uff09<\/a>:\u00a0 \u6570\u5b57\u8a8d\u8b58\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u7528\u306b\u69cb\u7bc9\u3055\u308c\u305f\u3001\u30b9\u30bf\u30f3\u30d5\u30a9\u30fc\u30c9\u5927\u5b66\u306b\u3088\u308b\u5bb6\u5c4b\u756a\u5730\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u300232 x 32\u30d4\u30af\u30bb\u30eb\u306b\u30c8\u30ea\u30df\u30f3\u30b0\u3055\u308c\u305f\u5b9f\u969b\u306e\u753b\u50cf\u30c7\u30fc\u30bf60\u4e07\u4ef6\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
  8. VGGFace2<\/a>: Google\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u304b\u3089\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f\u753b\u50cf\u304b\u3089\u6210\u308b\u3001\u6700\u5927\u306e\u9854\u753b\u50cf\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4e00\u3064\u3002\u5e74\u9f62\u3084\u30dd\u30fc\u30ba\u3001\u6c11\u65cf\u306f\u69d8\u3005\u3067\u3001\u5404\u88ab\u5199\u4f53\u306b\u3064\u304d\u5e73\u5747362\u4ef6\u306e\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
  9. COCO<\/a>: \u30b0\u30fc\u30b0\u30eb\u3068FAIR\u3001\u30ab\u30ea\u30d5\u30a9\u30eb\u30cb\u30a2\u5de5\u79d1\u5927\u5b66\u306a\u3069\u304b\u3089\u306e\u5354\u529b\u8005\u306b\u3088\u3063\u3066\u4f5c\u6210\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u4e16\u754c\u6700\u5927\u306e\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u4ed8\u304d\u753b\u50cf\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4e00\u3064\u3002\u7269\u4f53\u691c\u51fa\u3001\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3001\u753b\u50cf\u30ad\u30e3\u30d7\u30b7\u30e7\u30f3\u30bf\u30b9\u30af\u7528\u306b\u69cb\u7bc9\u3055\u308c\u300133\u4e07\u4ef6\u306e\u753b\u50cf\u306e\u3046\u306120\u4e07\u4ef6\u306b\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u304c\u4ed8\u3051\u3089\u308c\u3066\u3044\u308b\u3002\u753b\u50cf\u306b\u306f80\u7a2e\u985e\u306b\u308f\u305f\u308b150\u4e07\u500b\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u30fb\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
  10. \u30aa\u30fc\u30d7\u30f3\u30fb\u30a4\u30e1\u30fc\u30b8\u30ba\u30fb\u30c1\u30e3\u30ec\u30f3\u30b82019<\/a>: \u7d04900\u4e07\u4ef6\u306e\u753b\u50cf\u304c\u542b\u307e\u308c\u3066\u304a\u308a\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u3067\u5229\u7528\u3067\u304d\u308b\u6700\u5927\u306e\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u4ed8\u304d\u753b\u50cf\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4e00\u3064\u3002\u753b\u50cf\u30ec\u30d9\u30eb\u306e\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u3001\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u5bfe\u8c61\u3068\u3057\u305f\u30d0\u30a6\u30f3\u30c7\u30a3\u30f3\u30b0\u30dc\u30c3\u30af\u30b9\u304a\u3088\u3073\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30de\u30b9\u30af\u3001\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u9593\u306e\u95a2\u4fc2\u6027\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
  11. \u30aa\u30fc\u30d7\u30f3\u30fb\u30a4\u30e1\u30fc\u30b8\u30baV4<\/a>: \u4e0a\u8a18\u306e\u30aa\u30fc\u30d7\u30f3\u30fb\u30a4\u30e1\u30fc\u30b8\u30ba\u306e\u5225\u30d0\u30fc\u30b8\u30e7\u30f3\u3002600\u7a2e\u985e\u306e\u7570\u306a\u308b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u30af\u30e9\u30b9\u304b\u3089\u6210\u308b\u30d0\u30a6\u30f3\u30c7\u30a3\u30f3\u30b0\u30dc\u30c3\u30af\u30b91460\u4e07\u500b\u304c\u542b\u307e\u308c\u308b\u3002\u30d0\u30a6\u30f3\u30c7\u30a3\u30f3\u30b0\u30dc\u30c3\u30af\u30b9\u306f\u4eba\u9593\u306e\u30a2\u30ce\u30c6\u30fc\u30bf\u30fc\u304c\u624b\u52d5\u3067\u63cf\u3044\u305f\u3082\u306e\u3002<\/li>\n
  12. AFLW2K3D<\/a>: \u5168\u3066\u306b3D\u9854\u30e9\u30f3\u30c9\u30de\u30fc\u30af\u304c\u4ed8\u4e0e\u3055\u308c\u305f2000\u4ef6\u306e\u9854\u753b\u50cf\u304c\u542b\u307e\u308c\u308b\u30023D\u9854\u30e9\u30f3\u30c9\u30de\u30fc\u30af\u691c\u51fa\u30e2\u30c7\u30eb\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u4f5c\u6210\u3055\u308c\u305f\u3002<\/li>\n<\/ol>\n<\/div>

    TensorFlow\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\uff08\u52d5\u753b\uff09<\/h3><\/div>
      \n
    1. UCF101<\/a>: \u884c\u52d5\u8a8d\u8b58\u30e2\u30c7\u30eb\u7528\u306b\u69cb\u7bc9\u3055\u308c\u305f\u3001\u30bb\u30f3\u30c8\u30e9\u30eb\u30d5\u30ed\u30ea\u30c0\u5927\u5b66\u306b\u3088\u308b\u52d5\u753b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002101\u500b\u306e\u884c\u52d5\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u308f\u305f\u308b13,320\u4ef6\u306e\u52d5\u753b\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
    2. BAIR Robot Pushing<\/a>: \u30ab\u30ea\u30d5\u30a9\u30eb\u30cb\u30a2\u5927\u5b66\u30d0\u30fc\u30af\u30ec\u30fc\u6821AI\u7814\u7a76\u6240\uff08BAIR\uff09\u306b\u3088\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u4f55\u304b\u3092\u52d5\u304b\u3057\u3066\u3044\u308b\u3068\u3053\u308d\u306a\u3069\u3001\u52d5\u4f5c\u4e2d\u306e\u30ed\u30dc\u30c3\u30c8\u3092\u64ae\u5f71\u3057\u305f44,000\u4ef6\u306e\u52d5\u753b\u3092\u53ce\u9332\u3002<\/li>\n
    3. Moving MNIST\uff08MNIST\u52d5\u753b\u7248\uff09<\/a>:\u00a0 MNIST\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30d0\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u3067\u30011\u4e07\u4ef6\u306e\u52d5\u753b\u304c\u542b\u307e\u308c\u308b\u3002\u5404\u52d5\u753b\u3067\u306f\u30012\u500b\u306e\u624b\u66f8\u304d\u6570\u5b57\u304c64 x 64\u30d4\u30af\u30bb\u30eb\u306e\u753b\u9762\u5185\u3092\u52d5\u304d\u56de\u3063\u3066\u3044\u308b\u69d8\u5b50\u304c\u64ae\u5f71\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
    4. EMNIST<\/a>: \u5143\u306eMNIST\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6570\u5b57\u304c28\u00d728\u30d4\u30af\u30bb\u30eb\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u306b\u5909\u63db\u3055\u308c\u3066\u3044\u308b\u62e1\u5f35\u7248MNIST\u3002<\/li>\n<\/ol>\n<\/div>

      TensorFlow\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\uff08\u97f3\u58f0\uff09<\/h3><\/div>
        \n
      1. CREMA-D<\/a>: \u611f\u60c5\u8a8d\u8b58\u7528\u306b\u4f5c\u6210\u3055\u308c\u305f\u3001\u58f0\u306e\u611f\u60c5\u8868\u73fe\u304b\u3089\u6210\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u69d8\u3005\u306a\u5e74\u9f62\u3001\u6c11\u65cf\u3001\u6027\u5225\u306e91\u4eba\u306e\u4ff3\u512a\u306b\u3088\u308b\u97f3\u58f0\u30af\u30ea\u30c3\u30d77,442\u4ef6\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
      2. Librispeech<\/a>: LibriVox\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30aa\u30fc\u30c7\u30a3\u30aa\u30d6\u30c3\u30af\u304b\u3089\u53ce\u96c6\u3057\u305f1000\u6642\u9593\u5206\u306e\u82f1\u8a9e\u306e\u97f3\u58f0\u304c\u542b\u307e\u308c\u308b\u30b7\u30f3\u30d7\u30eb\u306a\u97f3\u58f0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u97f3\u97ff\u30e2\u30c7\u30eb\u3068\u8a00\u8a9e\u30e2\u30c7\u30eb\u4e21\u65b9\u306e\u5b66\u7fd2\u306b\u5229\u7528\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
      3. Libritts<\/a>: \u30b0\u30fc\u30b0\u30eb\u30fb\u30d6\u30ec\u30a4\u30f3\u306e\u30c1\u30fc\u30e0\u30e1\u30f3\u30d0\u30fc\u306e\u652f\u63f4\u3092\u53d7\u3051\u3066\u6e96\u5099\u3055\u308c\u305f\u3001\u82f1\u8a9e\u306e\u97f3\u58f0\u7d04585\u6642\u9593\u5206\u304c\u542b\u307e\u308c\u308b\u3002\u5143\u3005\u3001\u97f3\u58f0\u5408\u6210\uff08TTS\uff09\u7814\u7a76\u7528\u306b\u8a2d\u8a08\u3055\u308c\u305f\u304c\u3001\u69d8\u3005\u306a\u97f3\u58f0\u8a8d\u8b58\u30bf\u30b9\u30af\u306b\u5229\u7528\u3067\u304d\u308b\u3002<\/li>\n
      4. TED-LIUM<\/a>: \u82f1\u8a9e\u7248TED Talks110\u6642\u9593\u5206\u4ee5\u4e0a\u304c\u542b\u307e\u308c\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u5168\u3066\u5b57\u5e55\u4ed8\u304d\u3002<\/li>\n
      5. VoxCeleb<\/a>: \u8a71\u8005\u8b58\u5225\u30bf\u30b9\u30af\u7528\u306b\u69cb\u7bc9\u3055\u308c\u305f\u5927\u898f\u6a21\u306a\u97f3\u58f0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30021,251\u4eba\u306e\u8a71\u8005\u306b\u3088\u308b\u97f3\u58f0\u30b5\u30f3\u30d7\u30eb\u304c15\u4e07\u4ef6\u4ee5\u4e0a\u542b\u307e\u308c\u308b\u3002<\/li>\n<\/ol>\n<\/div>

        TensorFlow\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\uff08\u30c6\u30ad\u30b9\u30c8\uff09<\/h3><\/div>
          \n
        1. C4 (Common Crawl\u306e\u30a6\u30a7\u30d6\u30af\u30ed\u30fc\u30eb\u30b3\u30fc\u30d1\u30b9)<\/a>: 7\u5e74\u9593\u306b\u308f\u305f\u308b\u30c7\u30fc\u30bf\u304c\u542b\u307e\u308c\u300140\u4ee5\u4e0a\u306e\u8a00\u8a9e\u3067\u5229\u7528\u3067\u304d\u308b\u30a6\u30a7\u30d6\u30da\u30fc\u30b8\u30c7\u30fc\u30bf\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30ea\u30dd\u30b8\u30c8\u30eaCommon Cral\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002<\/li>\n
        2. \u5e02\u6c11\u306e\u30b3\u30e1\u30f3\u30c8<\/a>: 50\u500b\u4ee5\u4e0a\u306e\u82f1\u8a9e\u7248\u30cb\u30e5\u30fc\u30b9\u30b5\u30a4\u30c8\u304b\u3089\u53ce\u96c6\u3057\u305f180\u4e07\u4ef6\u4ee5\u4e0a\u306e\u30d1\u30d6\u30ea\u30c3\u30af\u30b3\u30e1\u30f3\u30c8\u306e\u30a2\u30fc\u30ab\u30a4\u30d6\u3002<\/li>\n
        3. IRC Disentanglement<\/a>: Ubuntu\u306eIRC\u30c1\u30e3\u30f3\u30cd\u30eb\u304b\u308977,000\u4ef6\u3092\u8d85\u3048\u308b\u30b3\u30e1\u30f3\u30c8\u3092\u53ce\u96c6\u3057\u3066\u4f5c\u6210\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u5404\u30b5\u30f3\u30d7\u30eb\u306e\u30e1\u30bf\u30c7\u30fc\u30bf\u306b\u306f\u3001\u30e1\u30c3\u30bb\u30fc\u30b8ID\u3068\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u304c\u542b\u307e\u308c\u308b\u3002<\/li>\n
        4. Lm1b<\/a>: \u8a00\u8a9e\u30e2\u30c7\u30eb\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3068\u3057\u3066\u77e5\u3089\u308c\u300110\u5104\u8a9e\u304c\u542b\u307e\u308c\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u5143\u3005\u3001\u7d71\u8a08\u7684\u8a00\u8a9e\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u304a\u3044\u3066\u9032\u6357\u3092\u6e2c\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f5c\u6210\u3055\u308c\u305f\u3082\u306e\u3002<\/li>\n
        5. SNLI<\/a>: \u4eba\u9593\u304c\u66f8\u3044\u305f\u6587\u306e\u30da\u30a257\u4e07\u4ef6\u3092\u53ce\u9332\u3057\u305f\u3001\u30b9\u30bf\u30f3\u30d5\u30a9\u30fc\u30c9\u5927\u5b66\u306b\u3088\u308b\u81ea\u7136\u8a00\u8a9e\u63a8\u8ad6\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u5168\u3066\u306e\u30da\u30a2\u306f\u3001\u30af\u30e9\u30b9\u9593\u306e\u5747\u8861\u3092\u53d6\u308b\u305f\u3081\u624b\u52d5\u3067\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u304c\u4ed8\u4e0e\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
        6. e-SNLI<\/a>: \u4e0a\u8a18\u306eSNLI\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u62e1\u5f35\u3057\u305f\u3082\u306e\u3002\u5143\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e57\u4e07\u4ef6\u306e\u6587\u304c\u3001\u542b\u610f\u3001\u77db\u76fe\u3001\u4e2d\u7acb\u306e3\u3064\u306b\u5206\u985e\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
        7. MultiNLI<\/a>: SNLI\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5023\u3063\u3066\u4f5c\u6210\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002433,000\u4ef6\u306e\u6587\u306e\u30da\u30a2\u5168\u3066\u306b\u542b\u610f\u60c5\u5831\u306e\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u304c\u4ed8\u4e0e\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
        8. Wiki40b<\/a>: 40\u7a2e\u985e\u306e\u7570\u306a\u308b\u8a00\u8a9e\u3067\u66f8\u304b\u308c\u305fWikipedia\u306e\u8a18\u4e8b\u304b\u3089\u53ce\u96c6\u3057\u305f\u30c6\u30ad\u30b9\u30c8\u304c\u542b\u307e\u308c\u308b\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u30c7\u30fc\u30bf\u30af\u30ec\u30f3\u30b8\u30f3\u30b0\u6e08\u307f\u3067\u3001\u975e\u30b3\u30f3\u30c6\u30f3\u30c4\u9818\u57df\u3084\u69cb\u9020\u5316\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306f\u524a\u9664\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n
        9. Yelp\u6975\u6027\u30ec\u30d3\u30e5\u30fc<\/a>: \u6975\u6027\u306e\u9ad8\u3044Yelp\u306e\u30ec\u30d3\u30e5\u30fc598,000\u4ef6\u304c\u542b\u307e\u308c\u308b\u3002Yelp\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30c1\u30e3\u30ec\u30f3\u30b82015\u306b\u542b\u307e\u308c\u3066\u3044\u305f\u30c7\u30fc\u30bf\u304b\u3089\u62bd\u51fa\u3002<\/li>\n<\/ol>\n

          \u4e0a\u8a18\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u6700\u3082\u898f\u6a21\u304c\u5927\u304d\u304f\u5e83\u7bc4\u306b\u5229\u7528\u3055\u308c\u3066\u3044\u308b\u6a5f\u68b0\u5b66\u7fd2\u7528TensorFlow\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4e00\u90e8\u3067\u3059\u304c\u3001TensorFlow\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u306f\u81a8\u5927\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u53ce\u3081\u3089\u308c\u3066\u304a\u308a\u3001\u5e38\u306b\u62e1\u5927\u3092\u7d9a\u3051\u3066\u3044\u307e\u3059\u3002\u304a\u5ba2\u69d8\u72ec\u81ea\u306e\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u306b\u6d3b\u7528\u3059\u308b\u305f\u3081\u3001\u3088\u308a\u8a73\u7d30\u306a\u60c5\u5831\u304c\u5fc5\u8981\u306a\u5834\u5408\u306f\u3001TensorFlow\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002 \u307e\u305f\u3001TensorFlow\u306b\u3064\u304d\u307e\u3057\u3066\u306f\u3001Coursera<\/a>\u306e\u65e5\u672c\u8a9e\u30bb\u30df\u30ca\u30fc\u306a\u3069\u3054\u78ba\u8a8d\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>

          \u304a\u63a2\u3057\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u898b\u3064\u304b\u3089\u306a\u3044\u5834\u5408\u3001\u5f53\u793e\u304c\u4f5c\u6210\u3044\u305f\u3057\u307e\u3059\u3002\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u6848\u4ef6\u306b\u7279\u5316\u3057\u305f\u79d8\u5bc6\u4fdd\u6301\u5951\u7d04\u3082\u4f5c\u6210\u3067\u304d\u308b\u306e\u3067\u3001\u30c7\u30fc\u30bf\u306e\u5b89\u5168\u6027\u3082\u4fdd\u8a3c\u3057\u3066\u304a\u308a\u307e\u3059\u3002\u3054\u76f8\u8ac7\u30fb\u7121\u6599\u30c8\u30e9\u30a4\u30a2\u30eb\u306f\u4ee5\u4e0b\u304b\u3089\u3002<\/p>\n<\/div>

          <\/div><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

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