Rebuild

Author: 9bow

docs/_downloads/032d653a4f5a9c1ec32b9fc7c989ffe1/seq2seq_translation_tutorial.ipynb

@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n\uae30\ucd08\ubd80\ud130 \uc2dc\uc791\ud558\ub294 NLP: Sequence to Sequence \ub124\ud2b8\uc6cc\ud06c\uc640 Attention\uc744 \uc774\uc6a9\ud55c \ubc88\uc5ed\n********************************************************************************\n**Author**: `Sean Robertson <https://github.com/spro/practical-pytorch>`_\n  **\ubc88\uc5ed**: `\ud669\uc131\uc218 <https://github.com/adonisues>`_\n\n\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc740 \"\uae30\ucd08\ubd80\ud130 \uc2dc\uc791\ud558\ub294 NLP\"\uc758 \uc138\ubc88\uc9f8\uc774\uc790 \ub9c8\uc9c0\ub9c9 \ud3b8\uc73c\ub85c, NLP \ubaa8\ub378\ub9c1 \uc791\uc5c5\uc744\n\uc704\ud55c \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc5d0 \uc0ac\uc6a9\ud560 \uc790\uccb4 \ud074\ub798\uc2a4\uc640 \ud568\uc218\ub4e4\uc744 \uc791\uc131\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc744 \ub9c8\uce5c \ub4a4\uc5d0\ub294 `torchtext` \uac00 \uc5b4\ub5bb\uac8c \uc9c0\uae08\uae4c\uc9c0\uc758 \ud29c\ud1a0\ub9ac\uc5bc\ub4e4\uc5d0\uc11c\uc758\n\uc804\ucc98\ub9ac \uacfc\uc815\uc744 \ub2e4\ub8e8\ub294\uc9c0\ub97c \uc774\ud6c4 \ud29c\ud1a0\ub9ac\uc5bc\ub4e4\uc5d0\uc11c \ubc30\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n\n\uc774 \ud504\ub85c\uc81d\ud2b8\uc5d0\uc11c\ub294 \uc2e0\uacbd\ub9dd\uc774 \ubd88\uc5b4\ub97c \uc601\uc5b4\ub85c \ubc88\uc5ed\ud558\ub3c4\ub85d \uac00\ub974\uce60 \uc608\uc815\uc785\ub2c8\ub2e4.\n\n::\n\n    [KEY: > input, = target, < output]\n\n    > il est en train de peindre un tableau .\n    = he is painting a picture .\n    < he is painting a picture .\n\n    > pourquoi ne pas essayer ce vin delicieux ?\n    = why not try that delicious wine ?\n    < why not try that delicious wine ?\n\n    > elle n est pas poete mais romanciere .\n    = she is not a poet but a novelist .\n    < she not not a poet but a novelist .\n\n    > vous etes trop maigre .\n    = you re too skinny .\n    < you re all alone .\n\n... \uc131\uacf5\uc728\uc740 \ubcc0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n\n\ud558\ub098\uc758 \uc2dc\ud000\uc2a4\ub97c \ub2e4\ub978 \uc2dc\ud000\uc2a4\ub85c \ubc14\uafb8\ub294 \ub450\uac1c\uc758 RNN\uc774 \ud568\uaed8 \ub3d9\uc791\ud558\ub294\n`sequence to sequence network <https://arxiv.org/abs/1409.3215>`__ \uc758 \uac04\ub2e8\ud558\uc9c0\ub9cc \uac15\ub825\ud55c \uc544\uc774\ub514\uc5b4\uac00\n\uc774\uac83(\ubc88\uc5ed)\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4. \uc778\ucf54\ub354 \ub124\ud2b8\uc6cc\ud06c\ub294 \uc785\ub825 \uc2dc\ud000\uc2a4\ub97c \ubca1\ud130\ub85c \uc555\ucd95\ud558\uace0,\n\ub514\ucf54\ub354 \ub124\ud2b8\uc6cc\ud06c\ub294 \ud574\ub2f9 \ubca1\ud130\ub97c \uc0c8\ub85c\uc6b4 \uc2dc\ud000\uc2a4\ub85c \ud3bc\uce69\ub2c8\ub2e4.\n\n.. figure:: /_static/img/seq-seq-images/seq2seq.png\n   :alt:\n\n\uc774 \ubaa8\ub378\uc744 \uac1c\uc120\ud558\uae30 \uc704\ud574 `Attention Mechanism <https://arxiv.org/abs/1409.0473>`__ \uc744\n\uc0ac\uc6a9\ud558\uba74 \ub514\ucf54\ub354\uac00 \uc785\ub825 \uc2dc\ud000\uc2a4\uc758 \ud2b9\uc815 \ubc94\uc704\uc5d0 \uc9d1\uc911\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4.\n\n**\ucd94\ucc9c \uc790\ub8cc:**\n\n\ucd5c\uc18c\ud55c Pytorch\ub97c \uc124\uce58\ud588\uace0, Python\uc744 \uc54c\uace0, Tensor\ub97c \uc774\ud574\ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.:\n\n-  http://pytorch.org/ \uc124\uce58 \uc548\ub0b4\ub97c \uc704\ud55c \uc790\ub8cc\n-  :doc:`/beginner/deep_learning_60min_blitz` \uc77c\ubc18\uc801\uc778 PyTorch \uc2dc\uc791\uc744 \uc704\ud55c \uc790\ub8cc\n-  :doc:`/beginner/pytorch_with_examples` \ub113\uace0 \uae4a\uc740 \ud1b5\ucc30\uc744 \uc704\ud55c \uc790\ub8cc\n-  :doc:`/beginner/former_torchies_tutorial` \uc774\uc804 Lua Torch \uc0ac\uc6a9\uc790\ub97c \uc704\ud55c \uc790\ub8cc\n\n\nSequence to Sequence \ub124\ud2b8\uc6cc\ud06c\uc640 \ub3d9\uc791 \ubc29\ubc95\uc5d0 \uad00\ud574\uc11c \uc544\ub294 \uac83\uc740 \uc720\uc6a9\ud569\ub2c8\ub2e4:\n\n-  `Learning Phrase Representations using RNN Encoder-Decoder for\n   Statistical Machine Translation <https://arxiv.org/abs/1406.1078>`__\n-  `Sequence to Sequence Learning with Neural\n   Networks <https://arxiv.org/abs/1409.3215>`__\n-  `Neural Machine Translation by Jointly Learning to Align and\n   Translate <https://arxiv.org/abs/1409.0473>`__\n-  `A Neural Conversational Model <https://arxiv.org/abs/1506.05869>`__\n\n\uc774\uc804 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0 \uc788\ub294\n:doc:`/intermediate/char_rnn_classification_tutorial`\n\uc640 :doc:`/intermediate/char_rnn_generation_tutorial` \ub294\n\uac01\uac01 \uc778\ucf54\ub354, \ub514\ucf54\ub354 \ubaa8\ub378\uacfc \ube44\uc2b7\ud55c \ucee8\uc13c\uc744 \uac00\uc9c0\uae30 \ub54c\ubb38\uc5d0 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.\n\n\ucd94\uac00\ub85c \uc774 \ud1a0\ud53d\ub4e4\uc744 \ub2e4\ub8e8\ub294 \ub17c\ubb38\uc744 \uc77d\uc5b4 \ubcf4\uc2ed\uc2dc\uc624:\n\n-  `Learning Phrase Representations using RNN Encoder-Decoder for\n   Statistical Machine Translation <https://arxiv.org/abs/1406.1078>`__\n-  `Sequence to Sequence Learning with Neural\n   Networks <https://arxiv.org/abs/1409.3215>`__\n-  `Neural Machine Translation by Jointly Learning to Align and\n   Translate <https://arxiv.org/abs/1409.0473>`__\n-  `A Neural Conversational Model <https://arxiv.org/abs/1506.05869>`__\n\n\n**\uc694\uad6c \uc0ac\ud56d**\n\n"
+        "\n\uae30\ucd08\ubd80\ud130 \uc2dc\uc791\ud558\ub294 NLP: Sequence to Sequence \ub124\ud2b8\uc6cc\ud06c\uc640 Attention\uc744 \uc774\uc6a9\ud55c \ubc88\uc5ed\n********************************************************************************\n**Author**: `Sean Robertson <https://github.com/spro/practical-pytorch>`_\n  **\ubc88\uc5ed**: `\ud669\uc131\uc218 <https://github.com/adonisues>`_\n\n\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc740 \"\uae30\ucd08\ubd80\ud130 \uc2dc\uc791\ud558\ub294 NLP\"\uc758 \uc138\ubc88\uc9f8\uc774\uc790 \ub9c8\uc9c0\ub9c9 \ud3b8\uc73c\ub85c, NLP \ubaa8\ub378\ub9c1 \uc791\uc5c5\uc744\n\uc704\ud55c \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc5d0 \uc0ac\uc6a9\ud560 \uc790\uccb4 \ud074\ub798\uc2a4\uc640 \ud568\uc218\ub4e4\uc744 \uc791\uc131\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc744 \ub9c8\uce5c \ub4a4\uc5d0\ub294 `torchtext` \uac00 \uc5b4\ub5bb\uac8c \uc9c0\uae08\uae4c\uc9c0\uc758 \ud29c\ud1a0\ub9ac\uc5bc\ub4e4\uc5d0\uc11c\uc758\n\uc804\ucc98\ub9ac \uacfc\uc815\uc744 \ub2e4\ub8e8\ub294\uc9c0\ub97c \uc774\ud6c4 \ud29c\ud1a0\ub9ac\uc5bc\ub4e4\uc5d0\uc11c \ubc30\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n\n\uc774 \ud504\ub85c\uc81d\ud2b8\uc5d0\uc11c\ub294 \uc2e0\uacbd\ub9dd\uc774 \ubd88\uc5b4\ub97c \uc601\uc5b4\ub85c \ubc88\uc5ed\ud558\ub3c4\ub85d \uac00\ub974\uce60 \uc608\uc815\uc785\ub2c8\ub2e4.\n\n::\n\n    [KEY: > input, = target, < output]\n\n    > il est en train de peindre un tableau .\n    = he is painting a picture .\n    < he is painting a picture .\n\n    > pourquoi ne pas essayer ce vin delicieux ?\n    = why not try that delicious wine ?\n    < why not try that delicious wine ?\n\n    > elle n est pas poete mais romanciere .\n    = she is not a poet but a novelist .\n    < she not not a poet but a novelist .\n\n    > vous etes trop maigre .\n    = you re too skinny .\n    < you re all alone .\n\n... \uc131\uacf5\uc728\uc740 \ubcc0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n\n\ud558\ub098\uc758 \uc2dc\ud000\uc2a4\ub97c \ub2e4\ub978 \uc2dc\ud000\uc2a4\ub85c \ubc14\uafb8\ub294 \ub450\uac1c\uc758 RNN\uc774 \ud568\uaed8 \ub3d9\uc791\ud558\ub294\n`sequence to sequence network <https://arxiv.org/abs/1409.3215>`__ \uc758 \uac04\ub2e8\ud558\uc9c0\ub9cc \uac15\ub825\ud55c \uc544\uc774\ub514\uc5b4\uac00\n\uc774\uac83(\ubc88\uc5ed)\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4. \uc778\ucf54\ub354 \ub124\ud2b8\uc6cc\ud06c\ub294 \uc785\ub825 \uc2dc\ud000\uc2a4\ub97c \ubca1\ud130\ub85c \uc555\ucd95\ud558\uace0,\n\ub514\ucf54\ub354 \ub124\ud2b8\uc6cc\ud06c\ub294 \ud574\ub2f9 \ubca1\ud130\ub97c \uc0c8\ub85c\uc6b4 \uc2dc\ud000\uc2a4\ub85c \ud3bc\uce69\ub2c8\ub2e4.\n\n.. figure:: /_static/img/seq-seq-images/seq2seq.png\n   :alt:\n\n\uc774 \ubaa8\ub378\uc744 \uac1c\uc120\ud558\uae30 \uc704\ud574 `Attention Mechanism <https://arxiv.org/abs/1409.0473>`__ \uc744\n\uc0ac\uc6a9\ud558\uba74 \ub514\ucf54\ub354\uac00 \uc785\ub825 \uc2dc\ud000\uc2a4\uc758 \ud2b9\uc815 \ubc94\uc704\uc5d0 \uc9d1\uc911\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4.\n\n**\ucd94\ucc9c \uc790\ub8cc:**\n\n\ucd5c\uc18c\ud55c Pytorch\ub97c \uc124\uce58\ud588\uace0, Python\uc744 \uc54c\uace0, Tensor\ub97c \uc774\ud574\ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.:\n\n-  http://pytorch.org/ \uc124\uce58 \uc548\ub0b4\ub97c \uc704\ud55c \uc790\ub8cc\n-  :doc:`/beginner/deep_learning_60min_blitz` \uc77c\ubc18\uc801\uc778 PyTorch \uc2dc\uc791\uc744 \uc704\ud55c \uc790\ub8cc\n-  :doc:`/beginner/pytorch_with_examples` \ub113\uace0 \uae4a\uc740 \ud1b5\ucc30\uc744 \uc704\ud55c \uc790\ub8cc\n-  :doc:`/beginner/former_torchies_tutorial` \uc774\uc804 Lua Torch \uc0ac\uc6a9\uc790\ub97c \uc704\ud55c \uc790\ub8cc\n\n\nSequence to Sequence \ub124\ud2b8\uc6cc\ud06c\uc640 \ub3d9\uc791 \ubc29\ubc95\uc5d0 \uad00\ud574\uc11c \uc544\ub294 \uac83\uc740 \uc720\uc6a9\ud569\ub2c8\ub2e4:\n\n-  `Learning Phrase Representations using RNN Encoder-Decoder for\n   Statistical Machine Translation <https://arxiv.org/abs/1406.1078>`__\n-  `Sequence to Sequence Learning with Neural\n   Networks <https://arxiv.org/abs/1409.3215>`__\n-  `Neural Machine Translation by Jointly Learning to Align and\n   Translate <https://arxiv.org/abs/1409.0473>`__\n-  `A Neural Conversational Model <https://arxiv.org/abs/1506.05869>`__\n\n\uc774\uc804 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0 \uc788\ub294\n:doc:`/intermediate/char_rnn_classification_tutorial`\n\uc640 :doc:`/intermediate/char_rnn_generation_tutorial` \ub294\n\uac01\uac01 \uc778\ucf54\ub354, \ub514\ucf54\ub354 \ubaa8\ub378\uacfc \ube44\uc2b7\ud55c \ucee8\uc13c\uc744 \uac00\uc9c0\uae30 \ub54c\ubb38\uc5d0 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.\n\n\ucd94\uac00\ub85c \uc774 \ud1a0\ud53d\ub4e4\uc744 \ub2e4\ub8e8\ub294 \ub17c\ubb38\uc744 \uc77d\uc5b4 \ubcf4\uc2ed\uc2dc\uc624:\n\n-  `Learning Phrase Representations using RNN Encoder-Decoder for\n   Statistical Machine Translation <https://arxiv.org/abs/1406.1078>`__\n-  `Sequence to Sequence Learning with Neural\n   Networks <https://arxiv.org/abs/1409.3215>`__\n-  `Neural Machine Translation by Jointly Learning to Align and\n   Translate <https://arxiv.org/abs/1409.0473>`__\n-  `A Neural Conversational Model <https://arxiv.org/abs/1506.05869>`__\n\n\n**\uc694\uad6c \uc0ac\ud56d**\n"
       ]
     },
     {
@@ -423,7 +423,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.6.7"
+      "version": "3.7.9"
     }
   },
   "nbformat": 4,