\ub514\uc2a4\ud06c \ubd84\ud560 \ud6c4 \uc124\uce58\ub97c \uc644\ub8cc\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n1.2 \ud544\uc218 \ud328\ud0a4\uc9c0 \uc124\uce58<\/h3>\n
\uc6b0\ubd84\ud22c \uc11c\ubc84\uac00 \uc124\uce58\ub418\uc5c8\ub2e4\uba74, \ub2e4\uc74c \ud328\ud0a4\uc9c0\ub4e4\uc744 \uc124\uce58\ud558\uc5ec \uae30\ubcf8 \ud658\uacbd\uc744 \uad6c\uc131\ud569\ub2c8\ub2e4:<\/p>\n
\nsudo apt update\nsudo apt install build-essential git curl\nsudo apt install python3 python3-pip python3-venv\n<\/pre>\n2. TensorFlow \ubc0f TensorBoard \uc124\uce58\ud558\uae30<\/h2>\n
TensorFlow\ub294 \uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\ub294 \ub370 \ud544\uc694\ud55c \ud504\ub808\uc784\uc6cc\ud06c\uc785\ub2c8\ub2e4. \ub610\ud55c TensorBoard\ub294 \ubaa8\ub378 \ud6c8\ub828 \uacfc\uc815\uc744 \uc2dc\uac01\ud654\ud558\ub294 \ub3c4\uad6c\uc785\ub2c8\ub2e4. \ub2e4\uc74c\uacfc \uac19\uc740 \uc808\ucc28\ub85c \uc124\uce58\ud558\uaca0\uc2b5\ub2c8\ub2e4:<\/p>\n
2.1 Python \uac00\uc0c1\ud658\uacbd \uc124\uc815<\/h3>\n
Python \uac00\uc0c1\ud658\uacbd\uc744 \uc124\uc815\ud558\uc5ec \ud328\ud0a4\uc9c0 \uac04\uc758 \ucda9\ub3cc\uc744 \ubc29\uc9c0\ud569\ub2c8\ub2e4:<\/p>\n
\nmkdir ~\/tensorflow_projects\ncd ~\/tensorflow_projects\npython3 -m venv tf-env\nsource tf-env\/bin\/activate\n<\/pre>\n2.2 TensorFlow \ubc0f TensorBoard \uc124\uce58<\/h3>\n
\ub2e4\uc74c \uba85\ub839\uc5b4\ub85c TensorFlow\uc640 TensorBoard\ub97c \uc124\uce58\ud569\ub2c8\ub2e4:<\/p>\n
\npip install --upgrade pip\npip install tensorflow tensorboard\n<\/pre>\n3. \uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378 \ud6c8\ub828\ud558\uae30<\/h2>\n
TensorBoard\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378 \ud6c8\ub828 \uacfc\uc815\uc744 \ubaa8\ub2c8\ud130\ub9c1\ud558\uae30 \uc704\ud574\uc11c\ub294 \ubaa8\ub378 \ud6c8\ub828 \ucf54\ub4dc\uc5d0 TensorBoard \ucf5c\ubc31\uc744 \ucd94\uac00\ud574\uc57c \ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uac04\ub2e8\ud55c \uc608\uc81c\uc785\ub2c8\ub2e4:<\/p>\n
\nimport tensorflow as tf\nfrom tensorflow import keras\n\n# \ub370\uc774\ud130\uc14b \ub85c\ub4dc \ubc0f \uc804\ucc98\ub9ac\nmnist = keras.datasets.mnist\n(x_train, y_train), (x_test, y_test) = mnist.load_data()\nx_train, x_test = x_train \/ 255.0, x_test \/ 255.0\n\n# \ubaa8\ub378 \uc815\uc758\nmodel = keras.models.Sequential([\n keras.layers.Flatten(input_shape=(28, 28)),\n keras.layers.Dense(128, activation='relu'),\n keras.layers.Dropout(0.2),\n keras.layers.Dense(10, activation='softmax')\n])\n\nmodel.compile(optimizer='adam',\n loss='sparse_categorical_crossentropy',\n metrics=['accuracy'])\n\n# TensorBoard \ucf5c\ubc31 \uc124\uc815\ntensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir='.\/logs', histogram_freq=1)\n\n# \ubaa8\ub378 \ud6c8\ub828\nmodel.fit(x_train, y_train, epochs=5, callbacks=[tensorboard_callback])\n<\/pre>\n4. TensorBoard\ub85c \ud6c8\ub828 \ubaa8\ub2c8\ud130\ub9c1\ud558\uae30<\/h2>\n
\ubaa8\ub378 \ud6c8\ub828\uc774 \uc644\ub8cc\ub41c \ud6c4, TensorBoard\ub97c \uc2e4\ud589\ud558\uc5ec \ud6c8\ub828 \uacfc\uc815\uc744 \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \uba85\ub839\uc5b4\ub85c TensorBoard\ub97c \uc2e4\ud589\ud569\ub2c8\ub2e4:<\/p>\n
\ntensorboard --logdir=.\/logs\n<\/pre>\n\uc704 \uba85\ub839\uc5b4\ub97c \uc785\ub825\ud55c \ud6c4, \uc6f9 \ube0c\ub77c\uc6b0\uc800\uc5d0\uc11c http:\/\/localhost:6006<\/strong>\uc5d0 \uc811\uc18d\ud558\uba74 TensorBoard \ub300\uc2dc\ubcf4\ub4dc\ub97c \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c \ud6c8\ub828 \uc911 \uc190\uc2e4(loss) \ubc0f \uc815\ud655\ub3c4(accuracy)\ub97c \uc2dc\uac01\uc801\uc73c\ub85c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n5. GPU \uc0ac\uc6a9\ub7c9 \ucd5c\uc801\ud654\ud558\uae30<\/h2>\n
\uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378 \ud6c8\ub828 \uc2dc GPU\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. GPU \uc790\uc6d0\uc744 \ucd5c\uc801\ud654\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc801\uc808\ud55c \uc124\uc815\uacfc \ubaa8\ub2c8\ud130\ub9c1\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n
5.1 GPU \ub4dc\ub77c\uc774\ubc84 \ubc0f CUDA \uc124\uce58<\/h3>\n
GPU\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 NVIDIA \ub4dc\ub77c\uc774\ubc84\uc640 CUDA Toolkit\uc744 \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \uc124\uce58\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc808\ucc28\ub85c \uc9c4\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n# NVIDIA \ub4dc\ub77c\uc774\ubc84 \uc124\uce58\nsudo apt install nvidia-driver-<\ubc84\uc804>\n\n# CUDA Toolkit \uc124\uce58\n# CUDA \ub2e4\uc6b4\ub85c\ub4dc \ud398\uc774\uc9c0\uc5d0\uc11c \uc801\uc808\ud55c \ubc84\uc804\uc744 \uc120\ud0dd\ud558\uc5ec \uc124\uce58\ud569\ub2c8\ub2e4.\n<\/pre>\n5.2 TensorFlow GPU \ubc84\uc804 \uc124\uce58<\/h3>\n
GPU\ub97c \ud65c\uc6a9\ud558\uae30 \uc704\ud574 TensorFlow\uc758 GPU \ubc84\uc804\uc744 \uc124\uce58\ud569\ub2c8\ub2e4:<\/p>\n
\npip install tensorflow-gpu\n<\/pre>\n5.3 GPU \uc790\uc6d0 \uc0ac\uc6a9 \ucd5c\uc801\ud654<\/h3>\n
\ubaa8\ub378 \ud6c8\ub828\uc2dc GPU \uc790\uc6d0\uc744 \ucd5c\uc801\ud654\ud558\uae30 \uc704\ud55c \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n- \ubc30\uce58 \uc0ac\uc774\uc988 \uc870\uc815:<\/strong> \ubc30\uce58 \uc0ac\uc774\uc988\ub97c \uc801\uc808\ud788 \uc124\uc815\ud558\uc5ec GPU \uba54\ubaa8\ub9ac \uc0ac\uc6a9\uc744 \ucd5c\uc801\ud654\ud569\ub2c8\ub2e4.<\/li>\n
- \ub370\uc774\ud130 \ud30c\uc774\ud504\ub77c\uc778 \ucd5c\uc801\ud654:<\/strong> tf.data API\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \ub85c\ub529 \ubc0f \uc804\ucc98\ub9ac\ub97c \ucd5c\uc801\ud654\ud569\ub2c8\ub2e4.<\/li>\n
- \ubaa8\ub378 \uccb4\ud06c\ud3ec\uc778\ud2b8 \uc0ac\uc6a9:<\/strong> \uc911\uac04 \uacb0\uacfc\ub97c \uc800\uc7a5\ud558\uc5ec \ud6c8\ub828 \uc911\ub2e8 \uc2dc \uc7ac\uc2dc\uc791\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
5.4 GPU \uc0ac\uc6a9\ub7c9 \ubaa8\ub2c8\ud130\ub9c1<\/h3>\n
GPU \uc0ac\uc6a9\ub7c9\uc744 \ubaa8\ub2c8\ud130\ub9c1\ud558\uae30 \uc704\ud574 nvidia-smi \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\nwatch -n 1 nvidia-smi\n<\/pre>\n\uc704 \uba85\ub839\uc5b4\ub97c \ud1b5\ud574 \ub9e4 1\ucd08 \uac04\uaca9\uc73c\ub85c GPU \uc0ac\uc6a9\ub7c9\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc73c\uba70, \ubaa8\ub378 \ud6c8\ub828 \uc911 GPU\uc758 \uba54\ubaa8\ub9ac \uc0ac\uc6a9\ub7c9, \ud504\ub85c\uc138\uc11c \uc810\uc720\uc728 \ub4f1\uc744 \uc2e4\uc2dc\uac04\uc73c\ub85c \ubaa8\ub2c8\ud130\ub9c1 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
6. \uacb0\ub860<\/h2>\n
\uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378 \ud6c8\ub828\uc744 \uc704\ud55c \uc6b0\ubd84\ud22c \uc11c\ubc84 \uad6c\ucd95, TensorBoard\ub97c \ud1b5\ud55c \ubaa8\ub2c8\ud130\ub9c1 \ubc0f GPU \ucd5c\uc801\ud654 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uacfc\uc815\uc744 \ud1b5\ud574 \ud6a8\uacfc\uc801\uc73c\ub85c \uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\uace0, \uadf8 \uc9c4\ud589 \uc0c1\ud0dc\ub97c \ubaa8\ub2c8\ud130\ub9c1\ud558\uba70, GPU \uc790\uc6d0\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc6b0\ubd84\ud22c \uc11c\ubc84 \ud658\uacbd\uc5d0\uc11c\uc758 \uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc740 \uc9c0\uc18d\uc801\uc73c\ub85c \ubc1c\uc804\ud558\ub294 \ubd84\uc57c\uc774\ubbc0\ub85c, \ucd5c\uc2e0 \ubb38\uc11c\uc640 \uc790\uc6d0\uc744 \ucc38\uace0\ud558\uc5ec \ucd5c\uc801\ud654\ub97c \uc9c0\uc18d\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\uae30 \uc704\ud574\uc11c\ub294 \uac15\ub825\ud55c \uc11c\ubc84 \ud658\uacbd\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc6b0\ubd84\ud22c \uc11c\ubc84\ub97c \uae30\ubc18\uc73c\ub85c \uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc6a9 \uc11c\ubc84\ub97c \uad6c\ucd95\ud558\uace0, TensorBoard\ub97c \ud1b5\ud574 \ud6c8\ub828 \uc9c4\ud589 \uc0c1\ud669\uc744 \ubaa8\ub2c8\ud130\ub9c1\ud558\ub294 \ubc29\ubc95\uacfc GPU \uc0ac\uc6a9\ub7c9\uc744 \ucd5c\uc801\ud654\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc6b0\ubd84\ud22c \uc11c\ubc84 \uc900\ube44\ud558\uae30 \uc6b0\uc120, \uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378 \ud6c8\ub828\uc744 \uc704\ud55c \uc6b0\ubd84\ud22c \uc11c\ubc84\ub97c \uc900\ube44\ud574\uc57c \ud569\ub2c8\ub2e4. \uc11c\ubc84\ub294 \ud074\ub77c\uc6b0\ub4dc \uc11c\ube44\uc2a4 \ud639\uc740 \uac1c\uc778 \uc11c\ubc84\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ub2e8\uacc4\uc5d0\uc11c … \ub354 \ubcf4\uae30 “18.\uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc6a9 \uc11c\ubc84 \uad6c\ucd95\ud558\uae30, \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1 \ubc0f \uc131\ub2a5 \ucd5c\uc801\ud654 TensorBoard\ub97c \uc0ac\uc6a9\ud574 \ud6c8\ub828 \uc9c4\ud589 \ubaa8\ub2c8\ud130\ub9c1\ud558\uae30, GPU \uc0ac\uc6a9\ub7c9 \ucd5c\uc801\ud654\ud558\uae30”<\/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":[179],"tags":[],"class_list":["post-41618","post","type-post","status-publish","format-standard","hentry","category-179"],"yoast_head":"\n18.\uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc6a9 \uc11c\ubc84 \uad6c\ucd95\ud558\uae30, \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1 \ubc0f \uc131\ub2a5 \ucd5c\uc801\ud654 TensorBoard\ub97c \uc0ac\uc6a9\ud574 \ud6c8\ub828 \uc9c4\ud589 \ubaa8\ub2c8\ud130\ub9c1\ud558\uae30, GPU \uc0ac\uc6a9\ub7c9 \ucd5c\uc801\ud654\ud558\uae30 - \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\/41618\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"18.\uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc6a9 \uc11c\ubc84 \uad6c\ucd95\ud558\uae30, \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1 \ubc0f \uc131\ub2a5 \ucd5c\uc801\ud654 TensorBoard\ub97c \uc0ac\uc6a9\ud574 \ud6c8\ub828 \uc9c4\ud589 \ubaa8\ub2c8\ud130\ub9c1\ud558\uae30, GPU \uc0ac\uc6a9\ub7c9 \ucd5c\uc801\ud654\ud558\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\uae30 \uc704\ud574\uc11c\ub294 \uac15\ub825\ud55c \uc11c\ubc84 \ud658\uacbd\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc6b0\ubd84\ud22c \uc11c\ubc84\ub97c \uae30\ubc18\uc73c\ub85c \uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc6a9 \uc11c\ubc84\ub97c \uad6c\ucd95\ud558\uace0, TensorBoard\ub97c \ud1b5\ud574 \ud6c8\ub828 \uc9c4\ud589 \uc0c1\ud669\uc744 \ubaa8\ub2c8\ud130\ub9c1\ud558\ub294 \ubc29\ubc95\uacfc GPU \uc0ac\uc6a9\ub7c9\uc744 \ucd5c\uc801\ud654\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc6b0\ubd84\ud22c \uc11c\ubc84 \uc900\ube44\ud558\uae30 \uc6b0\uc120, \uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378 \ud6c8\ub828\uc744 \uc704\ud55c \uc6b0\ubd84\ud22c \uc11c\ubc84\ub97c \uc900\ube44\ud574\uc57c \ud569\ub2c8\ub2e4. \uc11c\ubc84\ub294 \ud074\ub77c\uc6b0\ub4dc \uc11c\ube44\uc2a4 \ud639\uc740 \uac1c\uc778 \uc11c\ubc84\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ub2e8\uacc4\uc5d0\uc11c … \ub354 \ubcf4\uae30 "18.\uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc6a9 \uc11c\ubc84 \uad6c\ucd95\ud558\uae30, \ubaa8\ub378 \ubaa8\ub2c8\ud130\ub9c1 \ubc0f \uc131\ub2a5 \ucd5c\uc801\ud654 TensorBoard\ub97c \uc0ac\uc6a9\ud574 \ud6c8\ub828 \uc9c4\ud589 \ubaa8\ub2c8\ud130\ub9c1\ud558\uae30, GPU \uc0ac\uc6a9\ub7c9 \ucd5c\uc801\ud654\ud558\uae30"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/41618\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-07T16:56:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:36:10+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\" 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