{"id":25307,"date":"2024-10-26T09:53:53","date_gmt":"2024-10-26T09:53:53","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25307"},"modified":"2024-11-26T08:02:12","modified_gmt":"2024-11-26T08:02:12","slug":"%eb%94%a5-%eb%9f%ac%eb%8b%9d%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%9e%90%ec%97%b0%ec%96%b4-%ec%b2%98%eb%a6%ac-%ec%9e%84%eb%b2%a0%eb%94%a9-%eb%b2%a1%ed%84%b0%ec%9d%98-%ec%8b%9c%ea%b0%81%ed%99%94","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25307\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654"},"content":{"rendered":"\n<p class=\"has-medium-font-size\">\u00a0<strong>\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \uc784\ubca0\ub529 \ubca1\ud130 \uc2dc\uac01\ud654: \ud30c\uc774\ud1a0\uce58 \uae30\ubc18<\/strong><\/p>\n\n\n\n<p>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \ub9e4\uc6b0 \uc911\uc694\ud55c \uc5f0\uad6c \ubd84\uc57c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc73c\uba70, \ud2b9\ud788 \ub525 \ub7ec\ub2dd\uc740 \ud14d\uc2a4\ud2b8\uc758 \ubcf5\uc7a1\ud55c \uad6c\uc870\uc640 \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \ub370 \ud0c1\uc6d4\ud55c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58(PyTorch)\ub97c \uc774\uc6a9\ud558\uc5ec \ub525 \ub7ec\ub2dd \uae30\ubc18 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc784\ubca0\ub529 \ubca1\ud130\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ubc29\ubc95\uc744 \uc804\ubb38\uc801\uc73c\ub85c \ud0d0\uad6c\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ud30c\uc774\ud1a0\uce58 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec NLP\uc640 \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uac1c\ub150\uc744 \uc2ec\ub3c4 \uc788\uac8c \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. \ub610\ud55c, Word2Vec\uc744 \ud65c\uc6a9\ud55c \uc784\ubca0\ub529 \uae30\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uace0 \uc774\ub97c \uc2e4\uc81c\ub85c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\ub3c4 \uc124\uba85\ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\ubaa9\ucc28<\/h2>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc640 \ub525 \ub7ec\ub2dd<\/li>\n\n\n\n<li>\ud30c\uc774\ud1a0\uce58\ub85c NLP \ubaa8\ub378 \uad6c\ucd95\ud558\uae30<\/li>\n\n\n\n<li>\uc784\ubca0\ub529 \ubca1\ud130\uc758 \uac1c\ub150\uacfc \ud65c\uc6a9<\/li>\n\n\n\n<li>Word2Vec\uc758 \uc774\ud574\uc640 \ud65c\uc6a9<\/li>\n\n\n\n<li>\uc784\ubca0\ub529 \ubca1\ud130 \uc2dc\uac01\ud654 \ubc29\ubc95 (PCA \ubc0f t-SNE \ud65c\uc6a9)<\/li>\n\n\n\n<li>\uc2e4\uc2b5 \uc608\uc81c: \ud14d\uc2a4\ud2b8 \ubd84\ub958\uc640 \uc784\ubca0\ub529 \uc2dc\uac01\ud654<\/li>\n\n\n\n<li>\uacb0\ub860<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc640 \ub525 \ub7ec\ub2dd<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">\ub525 \ub7ec\ub2dd\uc758 NLP \ud65c\uc6a9<\/h3>\n\n\n\n<p>\ub525 \ub7ec\ub2dd\uc774 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0 \uc811\ubaa9\ub418\uba74\uc11c \uc5b8\uc5b4 \ubaa8\ub378\ub9c1, \uac10\uc815 \ubd84\uc11d, \ubc88\uc5ed, \ubb38\uc11c \uc694\uc57d \ub4f1 \ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubc1c\ud718\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uae30\uc874\uc5d0\ub294 \ub2e8\uc21c\ud55c \uaddc\uce59 \uae30\ubc18 \uc811\uadfc\uc774\ub098 \ud1b5\uacc4 \ubaa8\ub378\uc5d0 \uc758\uc874\ud588\uc9c0\ub9cc, \ub525 \ub7ec\ub2dd\uc740 \ubc29\ub300\ud55c \uc591\uc758 \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\uace0 \ud328\ud134\uc744 \ubc1c\uacac\ud558\uc5ec \uc5b8\uc5b4\uc758 \ubcf5\uc7a1\ud55c \uc758\ubbf8 \uad00\uacc4\ub97c \uc774\ud574\ud558\ub294 \ub370 \uc911\uc810\uc744 \ub461\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc744 \uc0ac\uc6a9\ud558\uba74 \uc218\uc791\uc5c5\uc73c\ub85c \uc815\uc758\ud558\uae30 \uc5b4\ub824\uc6b4 \ud2b9\uc9d5\ub4e4\uc744 \ubaa8\ub378\uc774 \uc2a4\uc2a4\ub85c \ud559\uc2b5\ud560 \uc218 \uc788\uc5b4 \ub9e4\uc6b0 \uac15\ub825\ud55c \uc811\uadfc \ubc29\uc2dd\uc774 \ub429\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ub300\ud45c\uc801\uc778 NLP \ubaa8\ub378 \uc544\ud0a4\ud14d\ucc98<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>RNN<\/strong>: \uc21c\ucc28\uc801\uc778 \ub370\uc774\ud130 \ucc98\ub9ac\uac00 \uac00\ub2a5\ud558\uc9c0\ub9cc \uc7a5\uae30 \uc758\uc874\uc131 \ubb38\uc81c(long-term dependency)\ub97c \ud574\uacb0\ud558\ub294 \ub370 \ud55c\uacc4\uac00 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 \ubb38\uc7a5\uc774 \uae38\uc5b4\uc9c8\uc218\ub85d \ucd08\ubc18\uc5d0 \uc785\ub825\ub41c \uc815\ubcf4\uac00 \uc0ac\ub77c\uc9c0\ub294 \ud604\uc0c1\uc774 \ubc1c\uc0dd\ud558\uae30 \uc27d\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>LSTM<\/strong>: RNN\uc758 \ud55c\uacc4\ub97c \ubcf4\uc644\ud574 \uae30\uc5b5 \uc140\uacfc \uac8c\uc774\ud2b8\ub97c \ud65c\uc6a9\ud558\uc5ec \uc7a5\uae30 \uc758\uc874\uc131 \ubb38\uc81c\ub97c \uc644\ud654\uc2dc\ud0b5\ub2c8\ub2e4. LSTM\uc740 \ub9dd\uac01 \uac8c\uc774\ud2b8, \uc785\ub825 \uac8c\uc774\ud2b8, \ucd9c\ub825 \uac8c\uc774\ud2b8 \ub4f1\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc815\ubcf4\uc758 \ud750\ub984\uc744 \uc870\uc808\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uae34 \ubb38\ub9e5\uc744 \uc798 \uc720\uc9c0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformer)<\/strong>: \ubcd1\ub82c \ucc98\ub9ac\uc5d0 \ucd5c\uc801\ud654\ub41c \uad6c\uc870\ub85c, \ucd5c\uadfc NLP \uc791\uc5c5\uc5d0\uc11c \uac00\uc7a5 \ub9ce\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 \uc140\ud504 \uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc785\ub825 \uc2dc\ud000\uc2a4 \ub0b4\uc758 \ubaa8\ub4e0 \uc704\uce58 \uac04\uc758 \uad00\uacc4\ub97c \ud6a8\uc728\uc801\uc73c\ub85c \ud559\uc2b5\ud569\ub2c8\ub2e4. \uc774\ub294 \ubc88\uc5ed, \uc9c8\uc758 \uc751\ub2f5 \uc2dc\uc2a4\ud15c \ub4f1\uc5d0\uc11c \ub192\uc740 \uc131\ub2a5\uc744 \uc790\ub791\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">2. \ud30c\uc774\ud1a0\uce58\ub85c NLP \ubaa8\ub378 \uad6c\ucd95\ud558\uae30<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">\ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n\n\n\n<p>\ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub294 \ubcf4\ud1b5 \ub2e8\uc5b4 \ub2e8\uc704\ub85c \ub098\ub204\uace0 \uc778\ub371\uc2a4\ub97c \ubd80\uc5ec\ud558\uc5ec \uc784\ubca0\ub529 \ub808\uc774\uc5b4\uc5d0\uc11c \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4. \ud30c\uc774\ud1a0\uce58\uc758&nbsp;<code>torchtext<\/code>\ub294 \uc804\ucc98\ub9ac\uc640 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130 \ub85c\ub4dc\ub97c \uc27d\uac8c \ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4. \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubaa8\ub378\uc5d0 \uc801\ud569\ud55c \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\ub294 \uacfc\uc815\uc5d0\uc11c \ud1a0\ud070\ud654, \uc815\uaddc\ud654, \ubd88\uc6a9\uc5b4 \uc81c\uac70 \ub4f1\uc758 \uc804\ucc98\ub9ac \uc791\uc5c5\uc774 \ud544\uc218\uc801\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import torch\nfrom torchtext.legacy import data, datasets\n\n# \ud14d\uc2a4\ud2b8 \ubc0f \ub77c\ubca8 \ud544\ub4dc \uc124\uc815\nTEXT = data.Field(tokenize='spacy', lower=True, batch_first=True)\nLABEL = data.LabelField(dtype=torch.float, batch_first=True)\n\n# \ub370\uc774\ud130\uc14b \ub85c\ub4dc\ntrain_data, test_data = datasets.IMDB.splits(TEXT, LABEL)\nTEXT.build_vocab(train_data, max_size=25000)\nLABEL.build_vocab(train_data)\n\n# \ub370\uc774\ud130 \ub85c\ub354 \uc815\uc758\ntrain_iterator, test_iterator = data.BucketIterator.splits(\n    (train_data, test_data), batch_size=64, device='cuda' if torch.cuda.is_available() else 'cpu'\n)<\/code><\/pre>\n\n\n\n<p>\uc704 \ucf54\ub4dc\ub294 IMDB \ub370\uc774\ud130\uc14b\uc744 \ub85c\ub4dc\ud558\uace0, \ub2e8\uc5b4 \uc0ac\uc804\uc744 \uad6c\uc131\ud55c \ud6c4 \ub370\uc774\ud130 \ub85c\ub354\ub97c \uc0dd\uc131\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.&nbsp;<code>Field<\/code>\ub97c \ud1b5\ud574 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc758 \ud1a0\ud070\ud654\uc640 \uc815\uaddc\ud654 \ubc29\ubc95\uc744 \uc815\uc758\ud558\uace0,&nbsp;<code>BucketIterator<\/code>\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc30\uce58 \ub2e8\uc704\ub85c \ub370\uc774\ud130\ub97c \ubaa8\ub378\uc5d0 \uc804\ub2ec\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">LSTM \uae30\ubc18 \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ubaa8\ub378<\/h3>\n\n\n\n<p>\uc774\uc81c \uac04\ub2e8\ud55c LSTM \uae30\ubc18\uc758 \ud14d\uc2a4\ud2b8 \ubd84\ub958 \ubaa8\ub378\uc744 \uad6c\ucd95\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. LSTM\uc740 RNN\uc758 \uc77c\uc885\uc73c\ub85c, \uc7a5\uae30\uc801\uc778 \uc885\uc18d\uc131\uc744 \uc798 \ud559\uc2b5\ud560 \uc218 \uc788\ub294 \uad6c\uc870\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import torch.nn as nn\n\nclass LSTMTextClassifier(nn.Module):\n    def __init__(self, vocab_size, embed_dim, hidden_dim, output_dim, n_layers=2, dropout=0.5):\n        super(LSTMTextClassifier, self).__init__()\n        self.embedding = nn.Embedding(vocab_size, embed_dim)\n        self.lstm = nn.LSTM(embed_dim, hidden_dim, num_layers=n_layers, batch_first=True, dropout=dropout)\n        self.fc = nn.Linear(hidden_dim, output_dim)\n        self.dropout = nn.Dropout(dropout)\n    \n    def forward(self, text):\n        embedded = self.dropout(self.embedding(text))\n        output, (hidden, _) = self.lstm(embedded)\n        return self.fc(hidden&#91;-1,:,:].squeeze(0))\n\n# \ubaa8\ub378 \uc778\uc2a4\ud134\uc2a4\ud654 \ubc0f \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc124\uc815\nINPUT_DIM = len(TEXT.vocab)\nEMBED_DIM = 100\nHIDDEN_DIM = 256\nOUTPUT_DIM = 1\n\nmodel = LSTMTextClassifier(INPUT_DIM, EMBED_DIM, HIDDEN_DIM, OUTPUT_DIM).to(device)<\/code><\/pre>\n\n\n\n<p>\uc704 \ucf54\ub4dc\uc5d0\uc11c\ub294 LSTM \ub808\uc774\uc5b4\uc640 \ub4dc\ub86d\uc544\uc6c3, \uc784\ubca0\ub529 \ub808\uc774\uc5b4\ub97c \ud65c\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8\ub97c \ucc98\ub9ac\ud558\ub294 \ubd84\ub958 \ubaa8\ub378\uc744 \uc815\uc758\ud569\ub2c8\ub2e4. \uac01 \ubb38\uc7a5\uc758 \ub9c8\uc9c0\ub9c9 hidden state\ub97c \ud65c\uc6a9\ud574 \uac10\uc131 \ubd84\uc11d \uc608\uce21 \uacb0\uacfc\ub97c \ub3c4\ucd9c\ud569\ub2c8\ub2e4. LSTM \ubaa8\ub378\uc740 \uc5ec\ub7ec \uce35\uc73c\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc73c\uba70, \ub4dc\ub86d\uc544\uc6c3\uc744 \uc0ac\uc6a9\ud558\uc5ec \uacfc\uc801\ud569\uc744 \ubc29\uc9c0\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">3. \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uac1c\ub150\uacfc \ud65c\uc6a9<\/h2>\n\n\n\n<p>\uc784\ubca0\ub529 \ubca1\ud130\ub294 \uace0\ucc28\uc6d0\uc758 \ub2e8\uc5b4\ub97c \uc800\ucc28\uc6d0 \uc2e4\uc218 \ubca1\ud130\ub85c \ubcc0\ud658\ud558\uc5ec \uc758\ubbf8\uc801 \uc720\uc0ac\uc131\uc744 \uc218\uce58\uc801\uc73c\ub85c \ud45c\ud604\ud558\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc740 \ud14d\uc2a4\ud2b8 \uac04\uc758 \uc720\uc0ac\uc131\uc744 \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud30c\uc774\ud1a0\uce58\uc758&nbsp;<code>nn.Embedding<\/code>&nbsp;\ub808\uc774\uc5b4\ub294 \uc774\ub7ec\ud55c \uc784\ubca0\ub529\uc744 \uc790\ub3d9\uc73c\ub85c \uc218\ud589\ud558\uba70, \uc8fc\uc5b4\uc9c4 \ub2e8\uc5b4\ub97c \uc77c\uc815\ud55c \ucc28\uc6d0\uc758 \ubca1\ud130\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4. \uc784\ubca0\ub529 \ub808\uc774\uc5b4\ub294 \ud559\uc2b5 \uac00\ub2a5\ud55c \ub9e4\uac1c\ubcc0\uc218\ub85c, \ud6c8\ub828 \uacfc\uc815\uc5d0\uc11c \ucd5c\uc801\uc758 \ubca1\ud130 \ud45c\ud604\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>embedding_layer = nn.Embedding(len(TEXT.vocab), EMBED_DIM)<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\uc784\ubca0\ub529 \ubca1\ud130\uc758 \ud559\uc2b5<\/h3>\n\n\n\n<p>\uc784\ubca0\ub529 \ub808\uc774\uc5b4\ub294 \ubaa8\ub378\uc774 \ud559\uc2b5\ub418\ub294 \ub3d9\uc548 \ub2e8\uc5b4 \uac04\uc758 \uc758\ubbf8 \uad00\uacc4\ub97c \ud559\uc2b5\ud558\uac8c \ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 &#8220;\uc0ac\ub791&#8221;\uacfc &#8220;\uc5f0\uc778&#8221;\uc774\ub77c\ub294 \ub2e8\uc5b4\uac00 \uc11c\ub85c \uac00\uae4c\uc6b4 \uc784\ubca0\ub529 \ubca1\ud130\ub97c \uac00\uc9c0\uac8c \ub418\uba70, \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc740 \ub2e8\uc5b4 \uac04 \uc720\uc0ac\uc131\uc744 \uc774\ud574\ud560 \uc218 \uc788\uac8c \ub429\ub2c8\ub2e4. \uc784\ubca0\ub529 \ub808\uc774\uc5b4\ub97c \ud1b5\ud574 \ub2e8\uc5b4\ub97c \ubca1\ud130\ub85c \ubcc0\ud658\ud55c \ud6c4, \uc774 \ubca1\ud130\ub294 LSTM\uc774\ub098 \ud2b8\ub79c\uc2a4\ud3ec\uba38\uc640 \uac19\uc740 \ubaa8\ub378\uc758 \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">4. Word2Vec\uc758 \uc774\ud574\uc640 \ud65c\uc6a9<\/h2>\n\n\n\n<p><strong>Word2Vec<\/strong>\uc740 \ub2e8\uc5b4\ub97c \ubca1\ud130\ub85c \ud45c\ud604\ud558\ub294 \ubc29\ubc95\uc73c\ub85c, \ud14d\uc2a4\ud2b8 \ub0b4\uc758 \ub2e8\uc5b4 \uac04\uc758 \uad00\uacc4\ub97c \uc218\uce58\uc801\uc73c\ub85c \ub098\ud0c0\ub0b4\ub294 \uac15\ub825\ud55c \uc784\ubca0\ub529 \uae30\ubc95\uc785\ub2c8\ub2e4. \uad6c\uae00\uc5d0\uc11c \uac1c\ubc1c\ud55c \uc774 \ubaa8\ub378\uc740 \ub2e8\uc5b4\uc758 \uc758\ubbf8\uc801 \uc720\uc0ac\uc131\uc744 \uc798 \ubc18\uc601\ud558\uba70, \ub450 \uac00\uc9c0 \uc8fc\uc694 \ubc29\uc2dd\uc778&nbsp;<strong>CBOW<\/strong>(Continuous Bag of Words)\uc640&nbsp;<strong>Skip-gram<\/strong>\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. Word2Vec\uc740 \ub300\ub7c9\uc758 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc774\uc6a9\ud574 \ub2e8\uc5b4 \uac04\uc758 \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \ubca1\ud130 \ud615\ud0dc\ub85c \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>CBOW<\/strong>: \uc8fc\ubcc0 \ub2e8\uc5b4\ub4e4\uc744 \uc774\uc6a9\ud558\uc5ec \uc911\uac04\uc5d0 \uc788\ub294 \ub2e8\uc5b4\ub97c \uc608\uce21\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \ub370\uc774\ud130\uc14b\uc774 \ud070 \uacbd\uc6b0 \ube60\ub974\uace0 \uc548\uc815\uc801\uc73c\ub85c \ud559\uc2b5\ub429\ub2c8\ub2e4. CBOW\ub294 \uc8fc\ubcc0 \ub2e8\uc5b4\uc758 \ubb38\ub9e5\uc744 \uae30\ubc18\uc73c\ub85c \uc911\uc2ec \ub2e8\uc5b4\ub97c \uc608\uce21\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c, \ubb38\ub9e5\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \uc798 \ud65c\uc6a9\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>Skip-gram<\/strong>: \ud55c \ub2e8\uc5b4\ub97c \uc774\uc6a9\ud574 \uc8fc\ubcc0 \ub2e8\uc5b4\ub4e4\uc744 \uc608\uce21\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c, \ud76c\uc18c\ud55c \ub370\uc774\ud130\uc14b\uc5d0\uc11c \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4. Skip-gram\uc740 \uc911\uc2ec \ub2e8\uc5b4\ub97c \ud1b5\ud574 \uc8fc\ubcc0 \ub2e8\uc5b4\ub4e4\uc744 \uc608\uce21\ud558\uba70, \ub4dc\ubb38 \ub2e8\uc5b4\uc5d0 \ub300\ud574 \ub354\uc6b1 \uc798 \ud559\uc2b5\ud558\ub294 \ud2b9\uc131\uc744 \uac00\uc9d1\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Word2Vec\uc758 \ud30c\uc774\ud1a0\uce58 \uad6c\ud604 \uc608\uc81c<\/h3>\n\n\n\n<p>\ud30c\uc774\ud1a0\uce58\uc5d0\uc11c Word2Vec\uc744 \uad6c\ud604\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 Skip-gram \ubc29\uc2dd\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. Skip-gram\uc740 \ud76c\uc18c\ud55c \ub370\uc774\ud130\uc5d0\uc11c\ub3c4 \ud6a8\uacfc\uc801\uc73c\ub85c \ud559\uc2b5\ud560 \uc218 \uc788\uae30 \ub54c\ubb38\uc5d0 \ub9ce\uc740 \uacbd\uc6b0\uc5d0\uc11c \ud65c\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import torch\nimport torch.nn.functional as F\nimport torch.optim as optim\n\nclass Word2Vec(nn.Module):\n    def __init__(self, vocab_size, embed_dim):\n        super(Word2Vec, self).__init__()\n        self.in_embed = nn.Embedding(vocab_size, embed_dim)\n        self.out_embed = nn.Embedding(vocab_size, embed_dim)\n    \n    def forward(self, center, context):\n        center_embed = self.in_embed(center)\n        context_embed = self.out_embed(context)\n        score = torch.matmul(center_embed, context_embed.t())\n        return F.log_softmax(score, dim=1)\n\n# \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc124\uc815\nVOCAB_SIZE = len(TEXT.vocab)\nEMBED_DIM = 100\n\nword2vec_model = Word2Vec(VOCAB_SIZE, EMBED_DIM)\noptimizer = optim.Adam(word2vec_model.parameters(), lr=0.001)\n\n# Skip-gram \ubc29\uc2dd\uc73c\ub85c \ud559\uc2b5\nfor epoch in range(10):\n    for center, context in train_iterator:\n        optimizer.zero_grad()\n        loss = F.nll_loss(word2vec_model(center, context), torch.tensor(&#91;1]))\n        loss.backward()\n        optimizer.step()<\/code><\/pre>\n\n\n\n<p>Word2Vec\uc744 \ud1b5\ud574 \ud559\uc2b5\ub41c \uc784\ubca0\ub529 \ubca1\ud130\ub294 \ub2e8\uc5b4 \uac04\uc758 \uc758\ubbf8\uc801 \uc720\uc0ac\uc131\uc744 \uc798 \ud45c\ud604\ud558\uba70, \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \ud65c\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubca1\ud130\ub294 \ub2e8\uc5b4\uc758 \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \uc218\uce58\uc801\uc73c\ub85c \ub098\ud0c0\ub0b4\uba70, \uc720\uc0ac\ud55c \uc758\ubbf8\ub97c \uac00\uc9c4 \ub2e8\uc5b4\ub4e4\uc740 \ubca1\ud130 \uacf5\uac04\uc0c1\uc5d0\uc11c \uac00\uae4c\uc6b4 \uac70\ub9ac\ub97c \uac00\uc9c0\uac8c \ub429\ub2c8\ub2e4.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">5. \uc784\ubca0\ub529 \ubca1\ud130 \uc2dc\uac01\ud654 \ubc29\ubc95 (PCA \ubc0f t-SNE \ud65c\uc6a9)<\/h2>\n\n\n\n<p>\uace0\ucc28\uc6d0 \uacf5\uac04\uc5d0\uc11c\uc758 \uc784\ubca0\ub529 \ubca1\ud130\ub294 \uc758\ubbf8\ub97c \uc9c1\uad00\uc801\uc73c\ub85c \uc774\ud574\ud558\uae30 \uc5b4\ub835\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 \ucc28\uc6d0 \ucd95\uc18c \uae30\ubc95\uc778&nbsp;<strong>PCA<\/strong>\uc640&nbsp;<strong>t-SNE<\/strong>\ub97c \ud1b5\ud574 \uc784\ubca0\ub529 \ubca1\ud130\ub97c \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc2dc\uac01\ud654\ub294 \uc784\ubca0\ub529\uc774 \uc81c\ub300\ub85c \ud559\uc2b5\ub418\uc5c8\ub294\uc9c0, \uc720\uc0ac\ud55c \ub2e8\uc5b4\ub4e4\uc774 \uc62c\ubc14\ub974\uac8c \uadf8\ub8f9\ud654\ub418\uc5c8\ub294\uc9c0 \ud655\uc778\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">PCA\ub85c \uc784\ubca0\ub529 \uc2dc\uac01\ud654<\/h3>\n\n\n\n<p>PCA\ub294 \ub370\uc774\ud130\uc758 \ubd84\uc0b0\uc744 \ucd5c\ub300\ud55c \ubcf4\uc874\ud558\uba70 \ucc28\uc6d0\uc744 \ucd95\uc18c\ud558\ub294 \uae30\ubc95\uc73c\ub85c, \uc8fc\ub85c \uc5f0\uc0b0 \uc18d\ub3c4\uac00 \ube60\ub974\uace0 \uc2dc\uac01\ud654 \uc6a9\ub3c4\ub85c \uc801\ud569\ud569\ub2c8\ub2e4. \uace0\ucc28\uc6d0 \ub370\uc774\ud130\uc758 \uc8fc\uc694 \ucd95\uc744 \ucc3e\uace0 \uc774\ub97c 2\ucc28\uc6d0 \ub610\ub294 3\ucc28\uc6d0\uc73c\ub85c \ucd95\uc18c\ud558\uc5ec \uc2dc\uac01\uc801\uc73c\ub85c \ud45c\ud604\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.decomposition import PCA\nimport matplotlib.pyplot as plt\n\n# \uc784\ubca0\ub529 \ubca1\ud130 \ucd94\ucd9c\nembeddings = model.embedding.weight.data.cpu().numpy()\n\n# PCA \uc801\uc6a9\npca = PCA(n_components=2)\npca_result = pca.fit_transform(embeddings)\n\n# \uc2dc\uac01\ud654\nplt.figure(figsize=(12, 12))\nplt.scatter(pca_result&#91;:2000, 0], pca_result&#91;:2000, 1], alpha=0.5)\nfor i in range(100):\n    plt.annotate(TEXT.vocab.itos&#91;i], (pca_result&#91;i, 0], pca_result&#91;i, 1]))\nplt.show()<\/code><\/pre>\n\n\n\n<p>PCA\ub97c \uc0ac\uc6a9\ud558\uba74 \ub2e8\uc5b4 \uac04\uc758 \uc804\ubc18\uc801\uc778 \uad00\uacc4\ub97c \ud30c\uc545\ud560 \uc218 \uc788\uc73c\uba70, \ub370\uc774\ud130\uc758 \uc804\ubc18\uc801\uc778 \ubd84\ud3ec\ub97c \uc2dc\uac01\uc801\uc73c\ub85c \uc27d\uac8c \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">t-SNE\ub85c \uc784\ubca0\ub529 \uc2dc\uac01\ud654<\/h3>\n\n\n\n<p>t-SNE\ub294 \ube44\uc120\ud615\uc801\uc778 \ubc29\ubc95\uc73c\ub85c \ub370\uc774\ud130\uc758 \uad6d\uc18c\uc801 \uad6c\uc870\ub97c \uc798 \ubcf4\uc874\ud558\ub294 \uc7a5\uc810\uc774 \uc788\uc5b4, \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uad6c\uc870 \uc2dc\uac01\ud654\uc5d0 \uc8fc\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. t-SNE\ub294 \uace0\ucc28\uc6d0 \ub370\uc774\ud130 \uac04\uc758 \uac70\ub9ac\ub97c \uc800\ucc28\uc6d0\uc5d0\uc11c\ub3c4 \ucd5c\ub300\ud55c \ubcf4\uc874\ud558\ub3c4\ub85d \uc124\uacc4\ub418\uc5b4, \uc720\uc0ac\ud55c \ub370\uc774\ud130\ub4e4\uc774 \uac00\uae4c\uc774 \uc704\uce58\ud558\uac8c \ub9cc\ub4ed\ub2c8\ub2e4.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.manifold import TSNE\n\n# t-SNE \uc801\uc6a9\ntsne = TSNE(n_components=2, random_state=42)\ntsne_result = tsne.fit_transform(embeddings&#91;:2000])\n\n# \uc2dc\uac01\ud654\nplt.figure(figsize=(16, 16))\nplt.scatter(tsne_result&#91;:, 0], tsne_result&#91;:, 1], alpha=0.5)\nfor i in range(100):\n    plt.annotate(TEXT.vocab.itos&#91;i], (tsne_result&#91;i, 0], tsne_result&#91;i, 1]))\nplt.show()<\/code><\/pre>\n\n\n\n<p>t-SNE\ub294 \ub370\uc774\ud130\uc758 \ub85c\uceec \uad6c\uc870\ub97c \uc720\uc9c0\ud558\uc5ec \uac19\uc740 \ubb38\ub9e5\uc5d0\uc11c \uc790\uc8fc \ub4f1\uc7a5\ud558\ub294 \ub2e8\uc5b4\ub4e4\uc774 \ub354 \uac00\uae4c\uc6b4 \uc704\uce58\uc5d0 \ubc30\uce58\ub429\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ub2e8\uc5b4 \uac04\uc758 \uc758\ubbf8\uc801 \uc720\uc0ac\uc131\uc744 \ubcf4\ub2e4 \uba85\ud655\ud558\uac8c \uc2dc\uac01\uc801\uc73c\ub85c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">6. \uc2e4\uc2b5 \uc608\uc81c: \ud14d\uc2a4\ud2b8 \ubd84\ub958\uc640 \uc784\ubca0\ub529 \uc2dc\uac01\ud654<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">\ub370\uc774\ud130 \ud559\uc2b5\uacfc \ud3c9\uac00<\/h3>\n\n\n\n<p>\ud6c8\ub828 \ub8e8\ud504\uc5d0\uc11c \uc190\uc2e4 \ud568\uc218\uc640 \uc635\ud2f0\ub9c8\uc774\uc800\ub97c \uc815\uc758\ud558\uace0, \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4. \ud559\uc2b5 \uacfc\uc815\uc5d0\uc11c \uc190\uc2e4 \uac12\uc774 \uc810\uc9c4\uc801\uc73c\ub85c \uac10\uc18c\ud558\ub294 \uac83\uc744 \ud655\uc778\ud558\uba70, \ubaa8\ub378\uc774 \uc81c\ub300\ub85c \ud559\uc2b5\ub418\uace0 \uc788\ub294\uc9c0 \ud3c9\uac00\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import torch.optim as optim\n\noptimizer = optim.Adam(model.parameters())\ncriterion = nn.BCEWithLogitsLoss()\n\n# \ud559\uc2b5 \ub8e8\ud504\ndef train(model, iterator, optimizer, criterion):\n    model.train()\n    for batch in iterator:\n        optimizer.zero_grad()\n        predictions = model(batch.text).squeeze(1)\n        loss = criterion(predictions, batch.label)\n        loss.backward()\n        optimizer.step()\n\n# \ud3c9\uac00 \ub8e8\ud504\ndef evaluate(model, iterator, criterion):\n    model.eval()\n    total_loss = 0\n    with torch.no_grad():\n        for batch in iterator:\n            predictions = model(batch.text).squeeze(1)\n            loss = criterion(predictions, batch.label)\n            total_loss += loss.item()\n    return total_loss \/ len(iterator)\n\n# \ubaa8\ub378 \ud559\uc2b5\nNUM_EPOCHS = 5\nfor epoch in range(NUM_EPOCHS):\n    train(model, train_iterator, optimizer, criterion)\n    eval_loss = evaluate(model, test_iterator, criterion)\n    print(f'Epoch {epoch+1} | Loss: {eval_loss:.4f}')<\/code><\/pre>\n\n\n\n<p>\ud559\uc2b5 \ub8e8\ud504\uc640 \ud3c9\uac00 \ub8e8\ud504\ub294 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \ubaa8\ub2c8\ud130\ub9c1\ud558\uace0, \ud559\uc2b5 \uacfc\uc815 \uc911 \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uacfc\uc801\ud569\uc774\ub098 \ubd80\uc871\ud55c \ud559\uc2b5 \ubb38\uc81c\ub97c \ubc1c\uacac\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">7. \uacb0\ub860<\/h2>\n\n\n\n<p>\uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58\ub97c \ud65c\uc6a9\ud55c \ub525 \ub7ec\ub2dd \uae30\ubc18 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc758 \uad6c\ucd95 \ubc29\ubc95\uacfc Word2Vec \uc784\ubca0\ub529 \ubc0f \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654\ub97c \ud1b5\ud574 \ub2e8\uc5b4 \uac04\uc758 \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \uc9c1\uad00\uc801\uc73c\ub85c \uc774\ud574\ud560 \uc218 \uc788\uc73c\uba70, \uc774\ub294 \ubaa8\ub378\uc758 \uc131\ub2a5 \ud5a5\uc0c1 \ubc0f \ud574\uc11d \uac00\ub2a5\uc131\uc744 \ub192\uc774\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \ud2b9\ud788 Word2Vec\uacfc \uac19\uc740 \uc784\ubca0\ub529 \uae30\ubc95\uc740 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc5d0\uc11c \ub2e8\uc5b4 \uac04\uc758 \ubbf8\ubb18\ud55c \uc758\ubbf8 \uad00\uacc4\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ud559\uc2b5\ud558\uace0 \uc774\ub97c \ud65c\uc6a9\ud558\uc5ec \ub354\uc6b1 \uac15\ub825\ud55c NLP \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \ub370 \uae30\uc5ec\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uc55e\uc73c\ub85c \ub354 \ubc1c\uc804\ub41c \uae30\ubc95\ub4e4\uacfc \ub2e4\uc591\ud55c \uc751\uc6a9 \uc0ac\ub840\ub97c \ud1b5\ud574 NLP \ubd84\uc57c\uc5d0\uc11c \ub525 \ub7ec\ub2dd\uc758 \ud65c\uc6a9 \uac00\ub2a5\uc131\uc740 \ub354\uc6b1 \ub113\uc5b4\uc9c8 \uac83\uc785\ub2c8\ub2e4. BERT, GPT\uc640 \uac19\uc740 \ub300\uaddc\ubaa8 \uc5b8\uc5b4 \ubaa8\ub378\ub4e4\uc774 \ubc1c\uc804\ud568\uc5d0 \ub530\ub77c, \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uacc4\uc18d\ud574\uc11c \uc9c4\ud654\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubcc0\ud654 \uc18d\uc5d0\uc11c \ud30c\uc774\ud1a0\uce58\ub97c \uc774\uc6a9\ud55c \ub2e4\uc591\ud55c \uc2e4\ud5d8\uacfc \uc784\ubca0\ub529 \uc2dc\uac01\ud654\ub97c \ud1b5\ud574 \uc5b8\uc5b4\uc758 \ubcf5\uc7a1\ud55c \uad6c\uc870\ub97c \ud0d0\uad6c\ud574\ubcf4\uc2dc\uae38 \uad8c\uc7a5\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">References<\/h1>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/pytorch.org\/docs\/stable\/index.html\">PyTorch \uacf5\uc2dd \ubb38\uc11c<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/lvdmaaten.github.io\/tsne\/\">\uc2a4\ucf67 \ubc18 \ub85c\uc0e4\uc774\uc758 t-SNE \uc18c\uac1c<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/1301.3781\">Word2Vec: Mikolov et al., 2013<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/1810.04805\">BERT: Devlin et al., 2018<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \uc784\ubca0\ub529 \ubca1\ud130 \uc2dc\uac01\ud654: \ud30c\uc774\ud1a0\uce58 \uae30\ubc18 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \ub9e4\uc6b0 \uc911\uc694\ud55c \uc5f0\uad6c \ubd84\uc57c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc73c\uba70, \ud2b9\ud788 \ub525 \ub7ec\ub2dd\uc740 \ud14d\uc2a4\ud2b8\uc758 \ubcf5\uc7a1\ud55c \uad6c\uc870\uc640 \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \ub370 \ud0c1\uc6d4\ud55c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58(PyTorch)\ub97c \uc774\uc6a9\ud558\uc5ec \ub525 \ub7ec\ub2dd \uae30\ubc18 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc784\ubca0\ub529 \ubca1\ud130\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ubc29\ubc95\uc744 \uc804\ubb38\uc801\uc73c\ub85c \ud0d0\uad6c\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ud30c\uc774\ud1a0\uce58 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/25307\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-25307","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/25307\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\u00a0\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \uc784\ubca0\ub529 \ubca1\ud130 \uc2dc\uac01\ud654: \ud30c\uc774\ud1a0\uce58 \uae30\ubc18 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \ub9e4\uc6b0 \uc911\uc694\ud55c \uc5f0\uad6c \ubd84\uc57c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc73c\uba70, \ud2b9\ud788 \ub525 \ub7ec\ub2dd\uc740 \ud14d\uc2a4\ud2b8\uc758 \ubcf5\uc7a1\ud55c \uad6c\uc870\uc640 \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \ub370 \ud0c1\uc6d4\ud55c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58(PyTorch)\ub97c \uc774\uc6a9\ud558\uc5ec \ub525 \ub7ec\ub2dd \uae30\ubc18 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc784\ubca0\ub529 \ubca1\ud130\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ubc29\ubc95\uc744 \uc804\ubb38\uc801\uc73c\ub85c \ud0d0\uad6c\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ud30c\uc774\ud1a0\uce58 &hellip; \ub354 \ubcf4\uae30 &quot;\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/25307\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-26T09:53:53+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T08:02:12+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"6\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/25307\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/25307\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654\",\"datePublished\":\"2024-10-26T09:53:53+00:00\",\"dateModified\":\"2024-11-26T08:02:12+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/25307\/\"},\"wordCount\":98,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/25307\/\",\"url\":\"https:\/\/atmokpo.com\/w\/25307\/\",\"name\":\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#website\"},\"datePublished\":\"2024-10-26T09:53:53+00:00\",\"dateModified\":\"2024-11-26T08:02:12+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/atmokpo.com\/w\/25307\/#breadcrumb\"},\"inLanguage\":\"ko-KR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/atmokpo.com\/w\/25307\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/atmokpo.com\/w\/25307\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\ud648\",\"item\":\"https:\/\/atmokpo.com\/w\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/atmokpo.com\/w\/#website\",\"url\":\"https:\/\/atmokpo.com\/w\/\",\"name\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/atmokpo.com\/w\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ko-KR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\",\"name\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"url\":\"https:\/\/atmokpo.com\/w\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png\",\"contentUrl\":\"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png\",\"width\":400,\"height\":400,\"caption\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\"},\"image\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/bebubo4\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\",\"name\":\"root\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g\",\"caption\":\"root\"},\"sameAs\":[\"http:\/\/atmokpo.com\/w\"],\"url\":\"https:\/\/atmokpo.com\/w\/author\/root\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/atmokpo.com\/w\/25307\/","og_locale":"ko_KR","og_type":"article","og_title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","og_description":"\u00a0\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \uc784\ubca0\ub529 \ubca1\ud130 \uc2dc\uac01\ud654: \ud30c\uc774\ud1a0\uce58 \uae30\ubc18 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \ub9e4\uc6b0 \uc911\uc694\ud55c \uc5f0\uad6c \ubd84\uc57c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc73c\uba70, \ud2b9\ud788 \ub525 \ub7ec\ub2dd\uc740 \ud14d\uc2a4\ud2b8\uc758 \ubcf5\uc7a1\ud55c \uad6c\uc870\uc640 \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \ub370 \ud0c1\uc6d4\ud55c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud30c\uc774\ud1a0\uce58(PyTorch)\ub97c \uc774\uc6a9\ud558\uc5ec \ub525 \ub7ec\ub2dd \uae30\ubc18 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc784\ubca0\ub529 \ubca1\ud130\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ubc29\ubc95\uc744 \uc804\ubb38\uc801\uc73c\ub85c \ud0d0\uad6c\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ud30c\uc774\ud1a0\uce58 &hellip; \ub354 \ubcf4\uae30 \"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654\"","og_url":"https:\/\/atmokpo.com\/w\/25307\/","og_site_name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","article_published_time":"2024-10-26T09:53:53+00:00","article_modified_time":"2024-11-26T08:02:12+00:00","author":"root","twitter_card":"summary_large_image","twitter_creator":"@bebubo4","twitter_site":"@bebubo4","twitter_misc":{"\uae00\uc4f4\uc774":"root","\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04":"6\ubd84"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/atmokpo.com\/w\/25307\/#article","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/25307\/"},"author":{"name":"root","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7"},"headline":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654","datePublished":"2024-10-26T09:53:53+00:00","dateModified":"2024-11-26T08:02:12+00:00","mainEntityOfPage":{"@id":"https:\/\/atmokpo.com\/w\/25307\/"},"wordCount":98,"publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"articleSection":["\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"],"inLanguage":"ko-KR"},{"@type":"WebPage","@id":"https:\/\/atmokpo.com\/w\/25307\/","url":"https:\/\/atmokpo.com\/w\/25307\/","name":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/#website"},"datePublished":"2024-10-26T09:53:53+00:00","dateModified":"2024-11-26T08:02:12+00:00","breadcrumb":{"@id":"https:\/\/atmokpo.com\/w\/25307\/#breadcrumb"},"inLanguage":"ko-KR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/atmokpo.com\/w\/25307\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/atmokpo.com\/w\/25307\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\ud648","item":"https:\/\/atmokpo.com\/w\/en\/"},{"@type":"ListItem","position":2,"name":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc784\ubca0\ub529 \ubca1\ud130\uc758 \uc2dc\uac01\ud654"}]},{"@type":"WebSite","@id":"https:\/\/atmokpo.com\/w\/#website","url":"https:\/\/atmokpo.com\/w\/","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","description":"","publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/atmokpo.com\/w\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ko-KR"},{"@type":"Organization","@id":"https:\/\/atmokpo.com\/w\/#organization","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","url":"https:\/\/atmokpo.com\/w\/","logo":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/","url":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","contentUrl":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","width":400,"height":400,"caption":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8"},"image":{"@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/bebubo4"]},{"@type":"Person","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7","name":"root","image":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","caption":"root"},"sameAs":["http:\/\/atmokpo.com\/w"],"url":"https:\/\/atmokpo.com\/w\/author\/root\/"}]}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":30092,"url":"https:\/\/atmokpo.com\/w\/30092\/","url_meta":{"origin":25307,"position":0},"title":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c \uc784\ubca0\ub529","author":"root","date":"2024\ub144 10\uc6d4 28\uc77c","format":false,"excerpt":"\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \uc0ac\uc6a9\uc790\uac00 \uc758\ub3c4\ud55c \ubc14\ub97c \uc774\ud574\ud558\uace0, \ubb38\ub9e5\uc5d0 \ub9de\ub294 \uc751\ub2f5\uc744 \uc0dd\uc131\ud558\uba70, \uc5ec\ub7ec \uc5b8\uc5b4\uc801 \uc694\uc18c\ub97c \ubd84\uc11d\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \uc911\uc694\ud55c \uae30\uc220 \uc911 \ud558\ub098\uac00 \uc784\ubca0\ub529(Embedding)\uc785\ub2c8\ub2e4. \uc784\ubca0\ub529\uc740 \ub2e8\uc5b4\ub97c \ubca1\ud130 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud558\uc5ec \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \ub354 \uc218\uce58\uc801\uc73c\ub85c \ud45c\ud604\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4. \uc624\ub298\uc740 \ud30c\uc774\ud1a0\uce58\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c \ub2e8\uc5b4 \uc784\ubca0\ub529\uc744 \uad6c\ud604\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc784\ubca0\ub529\uc774\ub780?\u2026","rel":"","context":"&quot;\ud30c\uc774\ud1a0\uce58 \uac15\uc88c&quot;\uc5d0\uc11c","block_context":{"text":"\ud30c\uc774\ud1a0\uce58 \uac15\uc88c","link":"https:\/\/atmokpo.com\/w\/category\/%ed%8c%8c%ec%9d%b4%ed%86%a0%ec%b9%98-%ea%b0%95%ec%a2%8c\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25341,"url":"https:\/\/atmokpo.com\/w\/25341\/","url_meta":{"origin":25307,"position":1},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: 1D CNN\uc73c\ub85c \uc2a4\ud338 \uba54\uc77c \ubd84\ub958\ud558\uae30","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 | \ub0a0\uc9dc: [\ub0a0\uc9dc] \uc11c\ub860 \ucd5c\uadfc \uba87 \ub144\uac04 \ub525 \ub7ec\ub2dd \uae30\uc220\uc774 \ube44\uc57d\uc801\uc73c\ub85c \ubc1c\uc804\ud558\uba74\uc11c \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0 \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud558\ub294 \uae30\uc220\ub85c, \uc774\uba54\uc77c \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \uae30\uacc4 \ubc88\uc5ed \ub4f1 \ub2e4\ubc29\uba74\uc5d0\uc11c \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 1\ucc28\uc6d0 \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(1D CNN)\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2a4\ud338 \uba54\uc77c\uc744\u2026","rel":"","context":"&quot;\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac&quot;\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25197,"url":"https:\/\/atmokpo.com\/w\/25197\/","url_meta":{"origin":25307,"position":2},"title":"03-02 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud1b5\uacc4\uc801 \uc5b8\uc5b4 \ubaa8\ub378(Statistical Language Model, SLM)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc77c: 2023\ub144 10\uc6d4 05\uc77c \uc791\uc131\uc790: \uc870\uad11\ud615 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\ub294 \uae30\uc220 \ubd84\uc57c\ub85c, \ucd5c\uadfc \uba87 \ub144\uac04 \uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc5d0 \ud798\uc785\uc5b4 \ud06c\uac8c \ubc1c\uc804\ud558\uc600\ub2e4. \ud2b9\ud788, \ud1b5\uacc4\uc801 \uc5b8\uc5b4 \ubaa8\ub378(Statistical Language Model, SLM)\uc740 \uc774\ub7ec\ud55c \ubc1c\uc804\uc758 \ud575\uc2ec\uc801\uc778 \uc694\uc18c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4\u2026","rel":"","context":"&quot;\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac&quot;\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25421,"url":"https:\/\/atmokpo.com\/w\/25421\/","url_meta":{"origin":25307,"position":3},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, BERT(Bidirectional Encoder Representations from Transformers)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc77c: [\ub0a0\uc9dc] \uc791\uc131\uc790: \uc870\uad11\ud615 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP, Natural Language Processing)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \ubd84\uc57c\ub85c, \ucd5c\uadfc \uba87 \ub144 \uac04 \uae09\uaca9\ud55c \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc2ec\uc5d0\ub294 \ub525 \ub7ec\ub2dd\uc774 \uc788\uc73c\uba70, \uc774\ub294 \ub9ce\uc740 \ubb38\uc81c\ub4e4\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \ud574\uacb0\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers)\ub294 \ud2b9\ud788 \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8\u2026","rel":"","context":"&quot;\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac&quot;\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25269,"url":"https:\/\/atmokpo.com\/w\/25269\/","url_meta":{"origin":25307,"position":4},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud53c\ub4dc \ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd \uc5b8\uc5b4 \ubaa8\ub378 (Neural Network Language Model, NNLM)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: 2024\ub144 11\uc6d4 26\uc77c 1. \uc11c\ub860 \ucd5c\uadfc \uba87 \ub144\uac04 \uc778\uacf5\uc9c0\ub2a5 \ubd84\uc57c\uc5d0\uc11c \ub525 \ub7ec\ub2dd(deep learning)\uc758 \ubc1c\uc804\uc740 \ub9e4\uc6b0 \ub208\ubd80\uc2e0 \ubcc0\ud654\uc640 \ud601\uc2e0\uc744 \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc740 \ud2b9\ud788 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP) \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc73c\uba70, \uadf8\uc5d0 \ub530\ub77c \ub2e4\uc591\ud55c \ubaa8\ub378\ub4e4\uc774 \uac1c\ubc1c\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud53c\ub4dc \ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd \uc5b8\uc5b4 \ubaa8\ub378(Neural Network Language\u2026","rel":"","context":"&quot;\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac&quot;\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":29369,"url":"https:\/\/atmokpo.com\/w\/29369\/","url_meta":{"origin":25307,"position":5},"title":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud150\uc11c\ubcf4\ub4dc\ub97c \uc0ac\uc6a9\ud574 \uc784\ubca0\ub529 \uc2dc\uac01\ud654","author":"root","date":"2024\ub144 10\uc6d4 27\uc77c","format":false,"excerpt":"2023\ub144 X\uc6d4 X\uc77c | \uc791\uc131\uc790: \uc870\uad11\ud615 \uc11c\ub860 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uc790\ub3d9\ud654\ub41c \ud2b8\ub808\uc774\ub529\uc740 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \uadf8 \uc758\ubbf8\uac00 \ub354\uc6b1 \uac15\uc870\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub370\uc774\ud130\uc758 \uc591\uacfc \ubcf5\uc7a1\uc131\uc774 \uc99d\uac00\ud558\uba74\uc11c \uc804\ud1b5\uc801\uc778 \ubc29\ubc95\uc73c\ub85c\ub294 \uc5bb\uae30 \ud798\ub4e0 \uc778\uc0ac\uc774\ud2b8\ub97c \uc81c\uacf5\ud560 \uc218 \uc788\ub294 \uae30\uacc4\ud559\uc2b5 \uae30\ubc18\uc758 \ud2b8\ub808\uc774\ub529 \uc54c\uace0\ub9ac\uc998\uc774 \ub300\ub450\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uace0,\u2026","rel":"","context":"&quot;\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529&quot;\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%ec%9e%90%eb%8f%99-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25307","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/comments?post=25307"}],"version-history":[{"count":4,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25307\/revisions"}],"predecessor-version":[{"id":42672,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25307\/revisions\/42672"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=25307"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=25307"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=25307"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}