Rebuild

Author: 9bow

docs/404.html

@@ -8,14 +8,14 @@
       },
       "outputs": [],
       "source": [
-        "# Google Colab\uc5d0\uc11c \ub178\ud2b8\ubd81\uc744 \uc2e4\ud589\ud558\uc2e4 \ub54c\uc5d0\ub294 \n# https://tutorials.pytorch.kr/beginner/colab \ub97c \ucc38\uace0\ud558\uc138\uc694.\n%matplotlib inline"
+        "# Google Colab\uc5d0\uc11c \ub178\ud2b8\ubd81\uc744 \uc2e4\ud589\ud558\uae30 \uc704\ud55c \ud301\uc740 \ub2e4\uc74c\uc744 \ucc38\uc870\ud558\uc138\uc694:\n# https://tutorials.pytorch.kr/beginner/colab \n%matplotlib inline"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "PyTorch: \ud150\uc11c(Tensor)\uc640 autograd\n================================\n\n$y=\\sin(x)$ \uc744 \uc608\uce21\ud560 \uc218 \uc788\ub3c4\ub85d, $-\\pi$ \ubd80\ud130 $\\pi$ \uae4c\uc9c0 \uc720\ud074\ub9ac\ub4dc\n\uac70\ub9ac(Euclidean distance)\ub97c \ucd5c\uc18c\ud654\ud558\ub3c4\ub85d 3\ucc28 \ub2e4\ud56d\uc2dd\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4.\n\n\uc774 \uad6c\ud604\uc740 PyTorch \ud150\uc11c \uc5f0\uc0b0\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc21c\uc804\ud30c \ub2e8\uacc4\ub97c \uacc4\uc0b0\ud558\uace0, PyTorch\nautograd\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubcc0\ud654\ub3c4(gradient)\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.\n\nPyTorch \ud150\uc11c\ub294 \uc5f0\uc0b0 \uadf8\ub798\ud504\uc5d0\uc11c \ub178\ub4dc(node)\ub85c \ud45c\ud604\ub429\ub2c8\ub2e4. \ub9cc\uc57d `x` \uac00\n`x.requires_grad=True` \uc778 \ud150\uc11c\ub77c\uba74, `x.grad` \ub294 \uc5b4\ub5a4 \uc2a4\uce7c\ub77c \uac12\uc5d0 \ub300\ud55c\n`x` \uc758 \ubcc0\ud654\ub3c4\ub97c \uac16\ub294 \ub610\ub2e4\ub978 \ud150\uc11c\uc785\ub2c8\ub2e4.\n"
+        "\n# PyTorch: \ud150\uc11c(Tensor)\uc640 autograd\n\n$y=\\sin(x)$ \uc744 \uc608\uce21\ud560 \uc218 \uc788\ub3c4\ub85d, $-\\pi$ \ubd80\ud130 $\\pi$ \uae4c\uc9c0\n\uc720\ud074\ub9ac\ub4dc \uac70\ub9ac(Euclidean distance)\ub97c \ucd5c\uc18c\ud654\ud558\ub3c4\ub85d 3\ucc28 \ub2e4\ud56d\uc2dd\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4.\n\n\uc774 \uad6c\ud604\uc740 PyTorch \ud150\uc11c \uc5f0\uc0b0\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc21c\uc804\ud30c \ub2e8\uacc4\ub97c \uacc4\uc0b0\ud558\uace0, PyTorch autograd\ub97c \uc0ac\uc6a9\ud558\uc5ec\n\ubcc0\ud654\ub3c4(gradient)\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.\n\nPyTorch \ud150\uc11c\ub294 \uc5f0\uc0b0 \uadf8\ub798\ud504\uc5d0\uc11c \ub178\ub4dc(node)\ub85c \ud45c\ud604\ub429\ub2c8\ub2e4. \ub9cc\uc57d ``x`` \uac00 ``x.requires_grad=True`` \uc778\n\ud150\uc11c\ub77c\uba74, ``x.grad`` \ub294 \uc5b4\ub5a4 \uc2a4\uce7c\ub77c \uac12\uc5d0 \ub300\ud55c ``x`` \uc758 \ubcc0\ud654\ub3c4\ub97c \uac16\ub294 \ub610\ub2e4\ub978 \ud150\uc11c\uc785\ub2c8\ub2e4.\n"
       ]
     },
     {
@@ -46,7 +46,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.10.14"
+      "version": "3.11.13"
     }
   },
   "nbformat": 4,

docs/_downloads/0184bded18578d24a48fdfad2c701b09/polynomial_autograd.ipynb

@@ -8,14 +8,14 @@
       },
       "outputs": [],
       "source": [
-        "# Google Colab\uc5d0\uc11c \ub178\ud2b8\ubd81\uc744 \uc2e4\ud589\ud558\uc2e4 \ub54c\uc5d0\ub294 \n# https://tutorials.pytorch.kr/beginner/colab \ub97c \ucc38\uace0\ud558\uc138\uc694.\n%matplotlib inline"
+        "# Google Colab\uc5d0\uc11c \ub178\ud2b8\ubd81\uc744 \uc2e4\ud589\ud558\uae30 \uc704\ud55c \ud301\uc740 \ub2e4\uc74c\uc744 \ucc38\uc870\ud558\uc138\uc694:\n# https://tutorials.pytorch.kr/beginner/colab \n%matplotlib inline"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "**\ud30c\uc774\ud1a0\uce58(PyTorch) \uae30\ubcf8 \uc775\ud788\uae30** \\|\\| [\ube60\ub978\n\uc2dc\uc791](quickstart_tutorial.html) \\|\\|\n[\ud150\uc11c(Tensor)](tensorqs_tutorial.html) \\|\\| [Dataset\uacfc\nDataloader](data_tutorial.html) \\|\\|\n[\ubcc0\ud615(Transform)](transforms_tutorial.html) \\|\\| [\uc2e0\uacbd\ub9dd \ubaa8\ub378\n\uad6c\uc131\ud558\uae30](buildmodel_tutorial.html) \\|\\|\n[Autograd](autogradqs_tutorial.html) \\|\\|\n[\ucd5c\uc801\ud654(Optimization)](optimization_tutorial.html) \\|\\| [\ubaa8\ub378 \uc800\uc7a5\ud558\uace0\n\ubd88\ub7ec\uc624\uae30](saveloadrun_tutorial.html)\n\n\ud30c\uc774\ud1a0\uce58(PyTorch) \uae30\ubcf8 \uc775\ud788\uae30\n=============================\n\nAuthors: [Suraj Subramanian](https://github.com/suraj813), [Seth\nJuarez](https://github.com/sethjuarez/), [Cassie\nBreviu](https://github.com/cassieview/), [Dmitry\nSoshnikov](https://soshnikov.com/), [Ari\nBornstein](https://github.com/aribornstein/)\n\n\ubc88\uc5ed: [\ubc15\uc815\ud658](https://github.com/9bow)\n\n\ub300\ubd80\ubd84\uc758 \uba38\uc2e0\ub7ec\ub2dd \uc6cc\ud06c\ud50c\ub85c\uc6b0\ub294 \ub370\uc774\ud130 \uc791\uc5c5\uacfc \ubaa8\ub378 \uc0dd\uc131, \ubaa8\ub378 \ub9e4\uac1c\ubcc0\uc218\n\ucd5c\uc801\ud654, \ud559\uc2b5\ub41c \ubaa8\ub378 \uc800\uc7a5\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uac1c\ub150\ub4e4\uc5d0\n\ub300\ud574 \ub354 \uc790\uc138\ud788 \uc54c\uc544\ubcfc \uc218 \uc788\ub294 \ubc14\ub85c\uac00\uae30\uc640 \ud568\uaed8 PyTorch\ub85c \uad6c\ud604\ub41c \uc804\uccb4 ML\n\uc6cc\ud06c\ud50c\ub85c\uc6b0\ub97c \uc18c\uac1c\ud569\ub2c8\ub2e4.\n\nFashionMNIST \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc785\ub825 \uc774\ubbf8\uc9c0\uac00 \ub2e4\uc74c \ubd84\ub958(class) \uc911\n\ud558\ub098\uc5d0 \uc18d\ud558\ub294\uc9c0\ub97c \uc608\uce21\ud558\ub294 \uc2e0\uacbd\ub9dd\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4: T-shirt/top, Trouser,\nPullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag, or Ankle boot.\n\n[\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc740 Python\uacfc \ub525\ub7ec\ub2dd \uac1c\ub150\uc5d0 \ub300\ud574 \uae30\ubcf8\uc801\uc778 \uc9c0\uc2dd\uc774 \uc788\ub2e4\uace0\n\uac00\uc815\ud569\ub2c8\ub2e4.]{.title-ref}\n\n\ud29c\ud1a0\ub9ac\uc5bc \ucf54\ub4dc \uc2e4\ud589\ud558\uae30\n----------------------\n\n\ub2e4\uc74c\uc758 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc73c\ub85c \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc744 \uc2e4\ud589\ud574\ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4:\n\n-   **\ud074\ub77c\uc6b0\ub4dc**: \uc2dc\uc791\ud558\uae30 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc785\ub2c8\ub2e4! \uac01 \uc139\uc158\uc758 \ub9e8 \uc704\uc5d0\ub294\n    \\\"Run in Microsoft Learn\\\" \ub9c1\ud06c\uc640 \\\"Run in Google Colab\\\" \ub9c1\ud06c\uac00\n    \uc788\uc73c\uba70, \uc774 \ub9c1\ud06c\ub4e4\uc740 \uac01\uac01 \uc644\uc804\ud788 \ud638\uc2a4\ud305\ub418\ub294 \ud658\uacbd\uc5d0\uc11c Microsoft Learn\n    \ub610\ub294 Google Colab\uc758 \ub178\ud2b8\ubd81\uc744 \uc5fd\ub2c8\ub2e4.\n-   **\ub85c\uceec**: \uba3c\uc800 \ub85c\uceec \ucef4\ud4e8\ud130\uc5d0 PyTorch\uc640 TorchVision\uc744 \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4\n    ([\uc124\uce58 \ubc29\ubc95](https://pytorch.kr/get-started/locally/)). \ub178\ud2b8\ubd81\uc744\n    \ub0b4\ub824\ubc1b\uac70\ub098 \ucf54\ub4dc\ub97c \uc6d0\ud558\ub294 IDE\uc5d0 \ubcf5\uc0ac\ud558\uc138\uc694.\n\n\ud29c\ud1a0\ub9ac\uc5bc \uc0ac\uc6a9 \ubc29\ubc95\n------------------\n\n\ub2e4\ub978 \ub525\ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c\uc5d0 \uc775\uc219\ud558\ub2e4\uba74, [0. \ube60\ub978\n\uc2dc\uc791](quickstart_tutorial.html) \uc744 \ubcf4\uace0 PyTorch\uc758 API\ub4e4\uc744 \ube60\ub974\uac8c\n\uc775\ud788\uc138\uc694.\n\n\ub525\ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c\uac00 \ucc98\uc74c\uc774\ub77c\uba74, \ub2e8\uacc4\ubcc4(step-by-step) \uac00\uc774\ub4dc\uc758 \uccab\ubc88\uc9f8\uc778\n[1. \ud150\uc11c(Tensor)](tensorqs_tutorial.html) \ub85c \uc774\ub3d9\ud558\uc138\uc694.\n\n::: {.toctree hidden=\"\"}\n:::\n"
+        "\n**\ud30c\uc774\ud1a0\uce58(PyTorch) \uae30\ubcf8 \uc775\ud788\uae30** ||\n[\ube60\ub978 \uc2dc\uc791](quickstart_tutorial.html) ||\n[\ud150\uc11c(Tensor)](tensorqs_tutorial.html) ||\n[Dataset\uacfc Dataloader](data_tutorial.html) ||\n[\ubcc0\ud615(Transform)](transforms_tutorial.html) ||\n[\uc2e0\uacbd\ub9dd \ubaa8\ub378 \uad6c\uc131\ud558\uae30](buildmodel_tutorial.html) ||\n[Autograd](autogradqs_tutorial.html) ||\n[\ucd5c\uc801\ud654(Optimization)](optimization_tutorial.html) ||\n[\ubaa8\ub378 \uc800\uc7a5\ud558\uace0 \ubd88\ub7ec\uc624\uae30](saveloadrun_tutorial.html)\n\n# \ud30c\uc774\ud1a0\uce58(PyTorch) \uae30\ubcf8 \uc775\ud788\uae30\n\nAuthors:\n[Suraj Subramanian](https://github.com/suraj813),\n[Seth Juarez](https://github.com/sethjuarez/),\n[Cassie Breviu](https://github.com/cassieview/),\n[Dmitry Soshnikov](https://soshnikov.com/),\n[Ari Bornstein](https://github.com/aribornstein/)\n\n\ubc88\uc5ed:\n[\ubc15\uc815\ud658](https://github.com/9bow)\n\n\ub300\ubd80\ubd84\uc758 \uba38\uc2e0\ub7ec\ub2dd \uc6cc\ud06c\ud50c\ub85c\uc6b0\ub294 \ub370\uc774\ud130 \uc791\uc5c5\uacfc \ubaa8\ub378 \uc0dd\uc131, \ubaa8\ub378 \ub9e4\uac1c\ubcc0\uc218 \ucd5c\uc801\ud654, \ud559\uc2b5\ub41c \ubaa8\ub378 \uc800\uc7a5\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.\n\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uac1c\ub150\ub4e4\uc5d0 \ub300\ud574 \ub354 \uc790\uc138\ud788 \uc54c\uc544\ubcfc \uc218 \uc788\ub294 \ubc14\ub85c\uac00\uae30\uc640 \ud568\uaed8 PyTorch\ub85c \uad6c\ud604\ub41c \uc804\uccb4 ML \uc6cc\ud06c\ud50c\ub85c\uc6b0\ub97c \uc18c\uac1c\ud569\ub2c8\ub2e4.\n\nFashionMNIST \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc785\ub825 \uc774\ubbf8\uc9c0\uac00 \ub2e4\uc74c \ubd84\ub958(class) \uc911 \ud558\ub098\uc5d0 \uc18d\ud558\ub294\uc9c0\ub97c \uc608\uce21\ud558\ub294 \uc2e0\uacbd\ub9dd\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4:\nT-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag, or Ankle boot.\n\n`\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc740 Python\uacfc \ub525\ub7ec\ub2dd \uac1c\ub150\uc5d0 \ub300\ud574 \uae30\ubcf8\uc801\uc778 \uc9c0\uc2dd\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.`\n\n\n## \ud29c\ud1a0\ub9ac\uc5bc \ucf54\ub4dc \uc2e4\ud589\ud558\uae30\n\n\ub2e4\uc74c\uc758 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc73c\ub85c \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc744 \uc2e4\ud589\ud574\ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4:\n\n- **\ud074\ub77c\uc6b0\ub4dc**: \uc2dc\uc791\ud558\uae30 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc785\ub2c8\ub2e4! \uac01 \uc139\uc158\uc758 \ub9e8 \uc704\uc5d0\ub294 \"Run in Microsoft Learn\" \ub9c1\ud06c\uc640 \"Run in Google Colab\" \ub9c1\ud06c\uac00 \uc788\uc73c\uba70, \uc774 \ub9c1\ud06c\ub4e4\uc740 \uac01\uac01 \uc644\uc804\ud788 \ud638\uc2a4\ud305\ub418\ub294 \ud658\uacbd\uc5d0\uc11c Microsoft Learn \ub610\ub294 Google Colab\uc758 \ub178\ud2b8\ubd81\uc744 \uc5fd\ub2c8\ub2e4.\n- **\ub85c\uceec**: \uba3c\uc800 \ub85c\uceec \ucef4\ud4e8\ud130\uc5d0 PyTorch\uc640 TorchVision\uc744 \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4 ([\uc124\uce58 \ubc29\ubc95](https://pytorch.kr/get-started/locally/)). \ub178\ud2b8\ubd81\uc744 \ub0b4\ub824\ubc1b\uac70\ub098 \ucf54\ub4dc\ub97c \uc6d0\ud558\ub294 IDE\uc5d0 \ubcf5\uc0ac\ud558\uc138\uc694.\n\n\n## \ud29c\ud1a0\ub9ac\uc5bc \uc0ac\uc6a9 \ubc29\ubc95\n\ub2e4\ub978 \ub525\ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c\uc5d0 \uc775\uc219\ud558\ub2e4\uba74, [0. \ube60\ub978 \uc2dc\uc791](quickstart_tutorial.html) \uc744 \ubcf4\uace0 PyTorch\uc758 API\ub4e4\uc744 \ube60\ub974\uac8c \uc775\ud788\uc138\uc694.\n\n\ub525\ub7ec\ub2dd \ud504\ub808\uc784\uc6cc\ud06c\uac00 \ucc98\uc74c\uc774\ub77c\uba74, \ub2e8\uacc4\ubcc4(step-by-step) \uac00\uc774\ub4dc\uc758 \uccab\ubc88\uc9f8\uc778 [1. \ud150\uc11c(Tensor)](tensorqs_tutorial.html) \ub85c \uc774\ub3d9\ud558\uc138\uc694.\n\n\n.. include:: /beginner_source/basics/qs_toc.txt\n\n.. toctree::\n   :hidden:\n"
       ]
     }
   ],
@@ -35,7 +35,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.10.14"
+      "version": "3.11.13"
     }
   },
   "nbformat": 4,