\uae30\uc6b8\uae30 \uc18c\uc2e4 \ubc0f \ud3ed\uc8fc: \uc5ed\uc804\ud30c \uacfc\uc815\uc5d0\uc11c \uae30\uc6b8\uae30\uac00 \uc18c\uc2e4\ub418\uac70\ub098 \ud3ed\uc8fc\ud558\uc5ec \ud559\uc2b5\uc774 \uc5b4\ub824\uc6cc\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n2. PyTorch\ub97c \uc0ac\uc6a9\ud55c RNN \uc140 \uad6c\ud604<\/h2>\n
\uc774\uc81c RNN\uc758 \uae30\ubcf8 \uad6c\uc870\ub97c \uc774\ud574\ud588\uc73c\ubbc0\ub85c, PyTorch\ub97c \uc0ac\uc6a9\ud558\uc5ec RNN \uc140\uc744 \uad6c\ud604\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. PyTorch\ub294 \ub525\ub7ec\ub2dd \uc5f0\uad6c\uc640 \ud504\ub85c\ud1a0\ud0c0\uc785 \uc81c\uc791\uc5d0 \uac15\ub825\ud55c \ub3c4\uad6c\ub85c \uc790\ub9ac\uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
2.1 \ud658\uacbd \uc124\uc815<\/h3>\n
\uba3c\uc800 Python\uacfc PyTorch\uac00 \uc124\uce58\ub418\uc5b4 \uc788\uc5b4\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \uba85\ub839\uc5b4\ub85c PyTorch\ub97c \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
pip install torch<\/code><\/pre>\n2.2 RNN \uc140 \ud074\ub798\uc2a4 \uad6c\ud604<\/h3>\n
\uc6b0\uc120 RNN \uc140\uc744 \uad6c\ud604\ud558\uae30 \uc704\ud55c \ud074\ub798\uc2a4\ub97c \uc791\uc131\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \ud074\ub798\uc2a4\ub294 \uc785\ub825 \ubca1\ud130\uc640 \uc774\uc804 \uc740\ub2c9 \uc0c1\ud0dc\ub97c \ubc1b\uc544 \uc0c8\ub85c\uc6b4 \uc740\ub2c9 \uc0c1\ud0dc\ub97c \uacc4\uc0b0\ud558\ub294 \uae30\ub2a5\uc744 \uac00\uc9d1\ub2c8\ub2e4.<\/p>\n
\nimport torch\nimport torch.nn as nn\n\nclass SimpleRNNCell(nn.Module):\n def __init__(self, input_size, hidden_size):\n super(SimpleRNNCell, self).__init__()\n self.hidden_size = hidden_size\n self.W_h = nn.Parameter(torch.randn(hidden_size, hidden_size)) # \uc774\uc804 \uc740\ub2c9 \uc0c1\ud0dc\uc5d0 \ub300\ud55c \uac00\uc911\uce58\n self.W_x = nn.Parameter(torch.randn(hidden_size, input_size)) # \uc785\ub825\uc5d0 \ub300\ud55c \uac00\uc911\uce58\n self.b = nn.Parameter(torch.zeros(hidden_size)) # \ubc14\uc774\uc5b4\uc2a4\n\n def forward(self, x_t, h_t_1):\n h_t = torch.tanh(torch.mm(self.W_h, h_t_1) + torch.mm(self.W_x, x_t) + self.b)\n return h_t\n <\/code><\/pre>\n2.3 RNN \uc140 \uc0ac\uc6a9 \ubc29\ubc95<\/h3>\n
\uc704\uc5d0\uc11c \uc815\uc758\ud55c RNN \uc140\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2dc\ud000\uc2a4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uac04\ub2e8\ud55c \uc608\ub85c, \ub79c\ub364 \uc785\ub825 \ub370\uc774\ud130\uc640 \ucd08\uae30 \uc740\ub2c9 \uc0c1\ud0dc\ub97c \uc0dd\uc131\ud558\uace0, RNN\uc744 \ud1b5\ud574 \ucd9c\ub825\uc744 \uacc4\uc0b0\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
\n# \ub9e4\uac1c\ubcc0\uc218 \uc124\uc815\ninput_size = 3 # \uc785\ub825 \ubca1\ud130 \ud06c\uae30\nhidden_size = 2 # \uc740\ub2c9 \uc0c1\ud0dc \ubca1\ud130 \ud06c\uae30\nsequence_length = 5\n\n# \ubaa8\ub378 \ucd08\uae30\ud654\nrnn_cell = SimpleRNNCell(input_size, hidden_size)\n\n# \ub79c\ub364 \uc785\ub825 \ub370\uc774\ud130 \ubc0f \ucd08\uae30 \uc740\ub2c9 \uc0c1\ud0dc \uc0dd\uc131\nx = torch.randn(sequence_length, input_size) # (sequence_length, input_size)\nh_t_1 = torch.zeros(hidden_size) # \ucd08\uae30 \uc740\ub2c9 \uc0c1\ud0dc\n\n# RNN \uc140\uc744 \ud1b5\ud574 \uc2dc\ud000\uc2a4 \ucc98\ub9ac\nfor t in range(sequence_length):\n h_t = rnn_cell(x[t], h_t_1) # \ud604\uc7ac \uc785\ub825\uacfc \uc774\uc804 \uc740\ub2c9 \uc0c1\ud0dc\ub85c \uc0c8\ub85c\uc6b4 \uc740\ub2c9 \uc0c1\ud0dc \uacc4\uc0b0\n h_t_1 = h_t # \ud604\uc7ac \uc740\ub2c9 \uc0c1\ud0dc\ub97c \ub2e4\uc74c \ub2e8\uacc4\uc758 \uc774\uc804 \uc740\ub2c9 \uc0c1\ud0dc\ub85c \uc124\uc815\n print(f\"Time step {t}: h_t = {h_t}\")\n <\/code><\/pre>\n3. RNN\uc758 \ud655\uc7a5: LSTM\uacfc GRU<\/h2>\n
RNN\uc740 \uae30\ucd08\uc801\uc778 \uad6c\uc870\ub97c \uac00\uc9c0\uace0 \uc788\uc9c0\ub9cc, \uc2e4\uc81c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c\ub294 \uc7a5\uae30 \uc758\uc874\uc131 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 LSTM(Long Short-Term Memory) \ub610\ub294 GRU(Gated Recurrent Unit)\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. LSTM\uc740 \uc140 \uc0c1\ud0dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc815\ubcf4 \ud750\ub984\uc744 \uc870\uc808\ud558\uace0, GRU\ub294 LSTM\ubcf4\ub2e4 \ub2e8\uc21c\ud55c \uad6c\uc870\uc774\uc9c0\ub9cc \uc720\uc0ac\ud55c \uc131\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n
3.1 LSTM \uad6c\uc870<\/h3>\n
LSTM\uc740 \uc785\ub825 \uac8c\uc774\ud2b8, \uc0ad\uc81c \uac8c\uc774\ud2b8, \ucd9c\ub825 \uac8c\uc774\ud2b8\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc5b4, \uacfc\uac70 \uc815\ubcf4\ub97c \ubcf4\ub2e4 \ud6a8\uacfc\uc801\uc73c\ub85c \uae30\uc5b5\ud558\uace0 \uc120\ud0dd\uc801\uc73c\ub85c \uc78a\uc744 \uc218 \uc788\ub3c4\ub85d \ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
3.2 GRU \uad6c\uc870<\/h3>\n
GRU\ub294 LSTM\uc744 \ub2e8\uc21c\ud654\ud55c \uad6c\uc870\ub85c, \uc5c5\ub370\uc774\ud2b8 \uac8c\uc774\ud2b8\uc640 \ub9ac\uc14b \uac8c\uc774\ud2b8\ub97c \ud1b5\ud574 \uc815\ubcf4\ub97c \uc870\uc808\ud569\ub2c8\ub2e4. GRU\ub294 LSTM\ubcf4\ub2e4 \uc801\uc740 \ud30c\ub77c\ubbf8\ud130\ub97c \uc0ac\uc6a9\ud558\uba70 \uc885\uc885 \ube44\uc2b7\ud558\uac70\ub098 \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4.<\/p>\n
4. \uacb0\ub860<\/h2>\n
\uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 RNN\uc758 \uae30\ubcf8 \uac1c\ub150\uacfc RNN \uc140\uc744 PyTorch\ub85c \uc9c1\uc811 \uad6c\ud604\ud558\ub294 \uacfc\uc815\uc744 \uc18c\uac1c\ud588\uc2b5\ub2c8\ub2e4. RNN\uc740 \uc2dc\ud000\uc2a4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \ud6a8\uacfc\uc801\uc774\uc9c0\ub9cc, \uc7a5\uae30 \uc758\uc874\uc131 \ubb38\uc81c\uc640 \uae30\uc6b8\uae30 \uc18c\uc2e4 \ubb38\uc81c\ub85c \uc778\ud574 LSTM\uc774\ub098 GRU\uc640 \uac19\uc740 \uad6c\uc870\uac00 \ub9ce\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \uac15\uc88c\ub97c \ud1b5\ud574 RNN\uc758 \uae30\ucd08\ub97c \uc774\ud574\ud558\uace0 \uc2e4\uc2b5\ud574 \ubcf4\uc168\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
\uc774\ud6c4\uc5d0\ub294 LSTM\uacfc GRU\uc758 \uad6c\ud604\uc774\ub098 RNN\uc744 \ud65c\uc6a9\ud55c \ub2e4\uc591\ud55c \ud504\ub85c\uc81d\ud2b8\ub97c \ub2e4\ub8f0 \uc608\uc815\uc785\ub2c8\ub2e4. \uc9c0\uc18d\uc801\uc73c\ub85c \ubc1c\uc804\ud558\ub294 \ub525\ub7ec\ub2dd\uc758 \uc138\uacc4\uc5d0\uc11c \ud568\uaed8 \ud559\uc2b5\ud574 \ub098\uac00\uae38 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n