\uc9c8\ubb38 \ub2f5\ubcc0 \uc2dc\uc2a4\ud15c:<\/strong> \uc778\uacf5\uc9c0\ub2a5 \uae30\ubc18\uc758 Q&A \uc2dc\uc2a4\ud15c\uc740 \uc0ac\uc6a9\uc790\uac00 \uc81c\uae30\ud55c \uc9c8\ubb38\uc5d0 \ub300\ud574 \uc2e0\uc18d\ud558\uac8c \ub2f5\ubcc0\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n2. \ub525 \ub7ec\ub2dd\uacfc RNN\uc758 \uac1c\ub150<\/h2>\n
\n \ub525 \ub7ec\ub2dd\uc740 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\ub85c, \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc744 \ud1b5\ud574 \ub370\uc774\ud130\ub97c \uc790\ub3d9\uc73c\ub85c \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uad6c\uc870\uc758 \uc2e0\uacbd\ub9dd \uc911\uc5d0\uc11c\ub3c4 RNN\uc740 \uc2dc\ud000\uc2a4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \ud0c1\uc6d4\ud55c \uc131\ub2a5\uc744 \ubc1c\ud718\ud569\ub2c8\ub2e4. RNN\uc740 \uc785\ub825 \uc2dc\ud000\uc2a4\uc758 \uc815\ubcf4\ub97c \ub0b4\ubd80 \uc0c1\ud0dc\uc5d0 \uc800\uc7a5\ud558\uace0 \uc774\ub97c \ud65c\uc6a9\ud558\uc5ec \ud6c4\uc18d \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \uad6c\uc870\ub97c \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
2.1 RNN\uc758 \uad6c\uc870<\/h3>\n
\n RNN\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uad6c\uc870\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. RNN\uc758 \uac01 \ub2e8\uacc4\ub294 \uc774\uc804 \ub2e8\uacc4\uc758 \ucd9c\ub825\uc744 \ub2e4\uc74c \ub2e8\uacc4\uc758 \uc785\ub825\uc73c\ub85c \uc0ac\uc6a9\ud558\uba70, \uc774\ub97c \ud1b5\ud574\uc11c \uc2dc\uac04\uc774 \uc9c0\ub0a8\uc5d0 \ub530\ub77c \uc815\ubcf4\ub97c \uc720\uc9c0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uad6c\uc870 \ub355\ubd84\uc5d0 RNN\uc740 \uc21c\ucc28\uc801\uc778 \ub370\uc774\ud130\uc5d0\uc11c \uae34 \uac70\ub9ac\uc758 \uc758\uc874\uc131\uc744 \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n h_t = f(W_hh * h_{t-1} + W_xh * x_t + b_h)\n <\/code><\/pre>\n\n \uc5ec\uae30\uc11c \\(h_t\\)\ub294 \ud604\uc7ac \ub2e8\uacc4\uc758 \uc228\uaca8\uc9c4 \uc0c1\ud0dc, \\(h_{t-1}\\)\uc740 \uc774\uc804 \ub2e8\uacc4\uc758 \uc228\uaca8\uc9c4 \uc0c1\ud0dc, \\(x_t\\)\ub294 \ud604\uc7ac \uc785\ub825\uc785\ub2c8\ub2e4. \\(W_hh\\)\uc640 \\(W_xh\\)\ub294 \uac00\uc911\uce58 \ud589\ub82c\uc774\uba70, \\(b_h\\)\ub294 \ud3b8\ud5a5 \ubca1\ud130\uc785\ub2c8\ub2e4. \ud568\uc218 \\(f\\)\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \ube44\uc120\ud615 \ud65c\uc131\ud654 \ud568\uc218(\uc608\ub97c \ub4e4\uc5b4, tanh \ub610\ub294 ReLU)\uc785\ub2c8\ub2e4.\n <\/p>\n
2.2 RNN\uc758 \ud55c\uacc4<\/h3>\n
\n RNN\uc740 \uc21c\ucc28 \ub370\uc774\ud130 \ucc98\ub9ac\uc5d0 \uac15\ub825\ud558\uc9c0\ub9cc, \uc7a5\uae30 \uc758\uc874\uc131(long-term dependency) \ubb38\uc81c\ub85c \uc778\ud574 \uacfc\uac70\uc758 \uc815\ubcf4\ub97c \uc78a\uc5b4\ubc84\ub9ac\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 LSTM(Long Short-Term Memory)\ub098 GRU(Gated Recurrent Unit)\uc640 \uac19\uc740 \uac1c\uc120\ub41c RNN \uad6c\uc870\uac00 \uac1c\ubc1c\ub418\uc5c8\uc2b5\ub2c8\ub2e4.\n <\/p>\n
3. RNN\uc758 \ubc1c\uc804: LSTM\uacfc GRU<\/h2>\n
\n LSTM\uacfc GRU\ub294 RNN\uc758 \uad6c\uc870\ub97c \uac1c\uc120\ud558\uc5ec \uc7a5\uae30 \uc758\uc874\uc131 \ubb38\uc81c\ub97c \ud574\uacb0\ud569\ub2c8\ub2e4. \uc774\ub4e4 \uad6c\uc870\ub294 \uac8c\uc774\ud2b8 \uba54\ucee4\ub2c8\uc998\uc744 \ub3c4\uc785\ud558\uc5ec \uc815\ubcf4\uc758 \ud750\ub984\uc744 \uc870\uc808\ud569\ub2c8\ub2e4.\n <\/p>\n
3.1 LSTM\uc758 \uad6c\uc870<\/h3>\n
\n LSTM\uc740 \uc140 \uc0c1\ud0dc(cell state)\uc640 \uc5ec\ub7ec \uac1c\uc758 \uac8c\uc774\ud2b8\ub97c \ud1b5\ud574 \uc815\ubcf4\ub97c \ub2e4\ub8f9\ub2c8\ub2e4. LSTM\uc758 \uc8fc\uc694 \uad6c\uc131 \uc694\uc18c\ub294 \uc785\ub825 \uac8c\uc774\ud2b8, \uc0ad\uc81c \uac8c\uc774\ud2b8, \ucd9c\ub825 \uac8c\uc774\ud2b8\uc785\ub2c8\ub2e4. \uc774 \uad6c\uc870\ub294 \uc120\ud0dd\uc801\uc73c\ub85c \uc815\ubcf4\ub97c \ucd94\uac00\ud558\uac70\ub098 \uc0ad\uc81c\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n i_t = \u03c3(W_ix * x_t + W_ih * h_{t-1} + b_i) # \uc785\ub825 \uac8c\uc774\ud2b8\n f_t = \u03c3(W_fx * x_t + W_fh * h_{t-1} + b_f) # \uc0ad\uc81c \uac8c\uc774\ud2b8\n o_t = \u03c3(W_ox * x_t + W_oh * h_{t-1} + b_o) # \ucd9c\ub825 \uac8c\uc774\ud2b8\n C_t = f_t * C_{t-1} + i_t * tanh(W_c * x_t + W_ch * h_{t-1} + b_c) # \uc140 \uc0c1\ud0dc \uc5c5\ub370\uc774\ud2b8\n h_t = o_t * tanh(C_t) # \ud604\uc7ac \ucd9c\ub825\n <\/code><\/pre>\n3.2 GRU\uc758 \uad6c\uc870<\/h3>\n
\n GRU\ub294 LSTM\uc758 \ubcf4\ub2e4 \uac04\ub2e8\ud55c \ubcc0\ud615\uc73c\ub85c, \uc5c5\ub370\uc774\ud2b8\uc640 \ub9ac\uc14b \uac8c\uc774\ud2b8\uc758 \ub450 \uac00\uc9c0 \uac8c\uc774\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc815\ubcf4\ub97c \ucc98\ub9ac\ud569\ub2c8\ub2e4. \uc774\ub294 LSTM\ubcf4\ub2e4 \uba54\ubaa8\ub9ac\uc640 \uacc4\uc0b0 \ud6a8\uc728\uc131\uc774 \uc88b\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n z_t = \u03c3(W_zx * x_t + W_zh * h_{t-1} + b_z) # \uc5c5\ub370\uc774\ud2b8 \uac8c\uc774\ud2b8\n r_t = \u03c3(W_rx * x_t + W_rh * h_{t-1} + b_r) # \ub9ac\uc14b \uac8c\uc774\ud2b8\n h_t = (1 - z_t) * h_{t-1} + z_t * tanh(W_hx * x_t + W_hh * (r_t * h_{t-1}) + b_h) # \ud604\uc7ac \ucd9c\ub825\n <\/code><\/pre>\n4. RNN\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc608\uc2dc<\/h2>\n
\n RNN\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0\uc11c \ud65c\uc6a9\ub429\ub2c8\ub2e4. \uc544\ub798\uc5d0\uc11c\ub294 RNN\uc744 \uc774\uc6a9\ud55c \uc8fc\uc694 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc744 \uad6c\uccb4\uc801\uc73c\ub85c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n
4.1 \uae30\uacc4 \ubc88\uc5ed<\/h3>\n
\n \uae30\uacc4 \ubc88\uc5ed\uc5d0\uc11c RNN\uc740 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc18c\uc2a4 \ubb38\uc7a5\uc744 \ud55c \uc5b8\uc5b4\uc5d0\uc11c \ub2e4\ub978 \uc5b8\uc5b4\ub85c \ubc88\uc5ed\ud558\ub294 \ub370 \ud65c\uc6a9\ub429\ub2c8\ub2e4. \uc778\ucf54\ub354\ub294 \uc785\ub825 \ubb38\uc7a5\uc744 \uace0\ucc28\uc6d0\uc758 \ubca1\ud130\ub85c \ubcc0\ud658\ud558\uace0, \ub514\ucf54\ub354\ub294 \uc774 \ubca1\ud130\ub97c \uc774\uc6a9\ud574 \ucd9c\ub825 \ubb38\uc7a5\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc740 \ud6c8\ub828 \uc2dc \uace0\uae09 \uc790\uc5f0\uc5b4 \ud328\ud134\uc744 \ud559\uc2b5\ud558\uc5ec \uc815\ud655\ud55c \ubc88\uc5ed\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.\n <\/p>\n
4.2 \ud14d\uc2a4\ud2b8 \uc0dd\uc131<\/h3>\n
\n RNN\uc740 \uc8fc\uc5b4\uc9c4 \uc2dc\ub4dc \ub2e8\uc5b4\ub85c\ubd80\ud130 \uc0c8\ub85c\uc6b4 \ud14d\uc2a4\ud2b8\ub97c \uc0dd\uc131\ud558\ub294 \ub370\uc5d0 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud14d\uc2a4\ud2b8 \uc0dd\uc131 \ubaa8\ub378\uc740 \ud559\uc2b5 \ub370\uc774\ud130\uc758 \ud1b5\uacc4\uc801 \ud328\ud134\uc744 \ud559\uc2b5\ud558\uc5ec \ubb38\ub9e5\uc5d0 \ub9de\ub294 \ub2e8\uc5b4\ub97c \uc21c\ucc28\uc801\uc73c\ub85c \uc0dd\uc131\ud569\ub2c8\ub2e4.\n <\/p>\n
4.3 \uac10\uc815 \ubd84\uc11d<\/h3>\n
\n \uac10\uc815 \ubd84\uc11d\uc5d0\uc11c\ub294 RNN\uc774 \ubb38\uc7a5\uc758 \uc815\ubcf4\uc640 \ubb38\ub9e5\uc744 \uace0\ub824\ud558\uc5ec \ud14d\uc2a4\ud2b8\uc758 \uac10\uc815\uc744 \ubd84\ub958\ud558\ub294 \ub370\uc5d0 \ud6a8\uacfc\uc801\uc73c\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4. \uc774 \uacbd\uc6b0 \uac01 \ubb38\uc7a5\uc740 RNN\uc758 \uc785\ub825\uc73c\ub85c \uc81c\uacf5\ub418\uace0, \ucd5c\uc885 \ucd9c\ub825\uc740 \uae0d\uc815, \ubd80\uc815, \uc911\ub9bd \ub4f1\uc758 \uac10\uc815\uc73c\ub85c \ubd84\ub958\ub429\ub2c8\ub2e4.\n <\/p>\n
5. RNN\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubc1c\uc804 \ubc29\ud5a5<\/h2>\n
\n RNN\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubbf8\ub798\ub294 \ub9e4\uc6b0 \ubc1d\uc2b5\ub2c8\ub2e4. \ub354 \ub098\uc544\uc9c4 \uc54c\uace0\ub9ac\uc998\uacfc \ub300\ud615 \ub370\uc774\ud130 \uc138\ud2b8\uc758 \uacb0\ud569\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc131\ub2a5\uc744 \ud55c\uce35 \ub354 \ub192\uc77c \uac83\uc785\ub2c8\ub2e4. \ub610\ud55c Transformer\uc640 \uac19\uc740 \uc0c8\ub85c\uc6b4 \uc544\ud0a4\ud14d\ucc98\uc758 \ubc1c\uc804\uc740 RNN\uc758 \uc77c\ubd80 \ud55c\uacc4\ub97c \uadf9\ubcf5\ud558\ub294 \ub370 \ud070 \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
5.1 Transformer\uc640 Attention Mechanism<\/h3>\n
\n Transformer \ubaa8\ub378\uc740 \uae30\uc874\uc758 RNN\uc744 \ub300\uccb4\ud560 \uc218 \uc788\ub294 \uc0c8\ub85c\uc6b4 \uc544\ud0a4\ud14d\ucc98\ub85c \uc8fc\ubaa9\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc740 \uc2dc\ud000\uc2a4 \uc804\uccb4\uc5d0\uc11c \uc815\ubcf4\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\uc5b4 \uc7a5\uae30 \uc758\uc874\uc131 \ubb38\uc81c\ub97c \ud6e8\uc52c \ub354 \ud6a8\uacfc\uc801\uc73c\ub85c \ud574\uacb0\ud569\ub2c8\ub2e4. \ud2b9\ud788, \uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998\uc744 \ud65c\uc6a9\ud558\uc5ec \ubb38\ub9e5 \uc815\ubcf4\ub97c \ub3d9\uc801\uc73c\ub85c \uc870\uc815\ud568\uc73c\ub85c\uc368 \ub354 \uc790\uc5f0\uc2a4\ub7ec\uc6b4 \uc5b8\uc5b4 \uc0dd\uc131\uacfc \uc774\ud574\ub97c \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4.\n <\/p>\n
5.2 \ucd94\uac00\uc801\uc778 \uc5f0\uad6c \ubc0f \uac1c\ubc1c<\/h3>\n
\n \ub9ce\uc740 \uc5f0\uad6c\uc790\ub4e4\uc774 RNN\uacfc \ub2e4\ub978 \ubaa8\ub378\uc744 \uacb0\ud569\ud558\uc5ec \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \uc774\ub04c\uc5b4\ub0b4\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, RNN\uacfc CNN(Convolutional Neural Network)\uc758 \uacb0\ud569\uc740 \uc774\ubbf8\uc9c0 \ubc0f \ud14d\uc2a4\ud2b8\uc758 \uba40\ud2f0\ubaa8\ub2ec \ud559\uc2b5\uc744 \uac00\ub2a5\ud558\uac8c \ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc0c8\ub85c\uc6b4 \uac00\ub2a5\uc131\uc744 \uc5f4\uc5b4\uac00\uace0 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\uacb0\ub860<\/h2>\n
\n RNN\uc740 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud574\uc654\uc73c\uba70, \uc55e\uc73c\ub85c\ub3c4 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub420 \uac83\uc785\ub2c8\ub2e4. \uae30\uacc4 \ubc88\uc5ed, \ud14d\uc2a4\ud2b8 \uc0dd\uc131, \uac10\uc815 \ubd84\uc11d \ub4f1 \uc5ec\ub7ec \uc791\uc5c5\uc5d0\uc11c \uadf8 \ub2a5\ub825\uc744 \ubc1c\ud718\ud558\uace0 \uc788\uc73c\uba70, LSTM\uacfc GRU\uc640 \uac19\uc740 \ubc1c\uc804\ub41c \ubaa8\ub378\uc740 RNN\uc758 \ud55c\uacc4\ub97c \ud574\uacb0\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubbf8\ub798\ub294 RNN\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \ub354\uc6b1 \ubc1d\uace0 \ub2e4\ucc44\ub85c\uc6b4 \uac00\ub2a5\uc131\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n
\ucc38\uace0:<\/strong> \uc774 \uae00\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0 \ub300\ud55c \uae4a\uc740 \uc774\ud574\ub97c \uc81c\uacf5\ud558\uae30 \uc704\ud574 \uc791\uc131\ub418\uc5c8\uc73c\uba70, \uc8fc\uc81c\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \ud559\uc2b5\uc744 \uc6d0\ud558\ub294 \ub3c5\uc790\uc5d0\uac8c \uc720\uc775\ud55c \uc790\ub8cc\uac00 \ub418\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<\/div>\n<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ucef4\ud4e8\ud130\uc640 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \uae30\uc220\uc744 \uc5f0\uad6c\ud558\ub294 \ubd84\uc57c\ub85c, \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\uc804\uacfc \ub354\ubd88\uc5b4 \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ub525 \ub7ec\ub2dd \uae30\uc220\uc758 \ubc1c\uc804\uc73c\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc131\ub2a5\uc774 \ube44\uc57d\uc801\uc73c\ub85c \ud5a5\uc0c1\ub418\uc5b4 \uc654\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c\uc758 \uc21c\ud658 \uc2e0\uacbd\ub9dd(Recurrent Neural Network, RNN)\uc758 \uc6d0\ub9ac\uc640 \uc751\uc6a9\uc744 \uc2ec\uce35\uc801\uc73c\ub85c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \uc911\uc694\uc131 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc5d0 \ub530\ub77c … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc21c\ud658 \uc2e0\uacbd\ub9dd(Recurrent Neural Network, RNN)”<\/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-25273","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\n\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc21c\ud658 \uc2e0\uacbd\ub9dd(Recurrent Neural Network, RNN) - 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