\u5728linux\u7cfb\u7edf\u4e0a\u4f7f\u7528\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u7684\u914d\u7f6e\u65b9\u6cd5<\/p>\n
\u6df1\u5ea6\u5b66\u4e60\u662f\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u4e00\u4e2a\u70ed\u95e8\u65b9\u5411\uff0c\u8bb8\u591a\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u90fd\u5728\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u89e3\u51b3\u5404\u79cd\u95ee\u9898\u3002\u800cPython\u4f5c\u4e3a\u4e00\u79cd\u5e7f\u6cdb\u4f7f\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u62e5\u6709\u8bb8\u591a\u4f18\u79c0\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5982TensorFlow\u3001PyTorch\u548cKeras\u7b49\u3002\u800cPyCharm\u4f5c\u4e3a\u4e00\u6b3e\u5f3a\u5927\u7684Python\u5f00\u53d1\u73af\u5883\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u63d2\u4ef6\uff0c\u975e\u5e38\u9002\u5408\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u7684\u5f00\u53d1\u5de5\u4f5c\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5728linux\u7cfb\u7edf\u4e0a\u4f7f\u7528pycharm\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u7684\u914d\u7f6e\u65b9\u6cd5\uff0c\u5e76\u9644\u5e26\u4e00\u4e9b\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u5e76\u914d\u7f6ePyCharm\u3002\u53ef\u4ee5\u4eceJetBrains\u5b98\u65b9\u7f51\u7ad9\u4e0b\u8f7dPyCharm\u7684Linux\u7248\u672c\u5b89\u88c5\u5305\u3002\u4e0b\u8f7d\u5b8c\u6210\u540e\uff0c\u5728\u7ec8\u7aef\u4e2d\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n
sudo tar -xzf pycharm-*.tar.gz -C \/opt\/\nsudo ln -s \/opt\/pycharm-*\/bin\/pycharm.sh \/usr\/local\/bin\/pycharm<\/pre>\n\u767b\u5f55\u540e\u590d\u5236 <\/p>\n
\u7136\u540e\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5Python\u3002\u5927\u90e8\u5206\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u90fd\u652f\u6301Python 3.x\u7248\u672c\uff0c\u56e0\u6b64\u6211\u4eec\u53ef\u4ee5\u9009\u62e9\u5b89\u88c5Python 3.x\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Python\uff1a<\/p>\n
sudo apt-get update\nsudo apt-get install python3<\/pre>\n\u767b\u5f55\u540e\u590d\u5236 <\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002\u4ee5TensorFlow\u4e3a\u4f8b\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5TensorFlow\uff1a<\/p>\n
pip install tensorflow<\/pre>\n\u767b\u5f55\u540e\u590d\u5236 <\/p>\n
\u5982\u679c\u9700\u8981\u4f7f\u7528GPU\u52a0\u901f\uff0c\u8fd8\u9700\u8981\u5b89\u88c5CUDA\u548ccuDNN\u3002\u53ef\u4ee5\u53c2\u8003TensorFlow\u5b98\u65b9\u6587\u6863\u8fdb\u884c\u5b89\u88c5\u548c\u914d\u7f6e\u3002<\/p>\n
\u5b8c\u6210\u4ee5\u4e0a\u6b65\u9aa4\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u6253\u5f00PyCharm\u5e76\u521b\u5efa\u4e00\u4e2a\u65b0\u9879\u76ee\u3002\u5728\u521b\u5efa\u9879\u76ee\u8fc7\u7a0b\u4e2d\uff0c\u9009\u62e9Python\u89e3\u91ca\u5668\u4e3a\u6211\u4eec\u5b89\u88c5\u7684Python 3.x\u7248\u672c\u3002<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u5728PyCharm\u4e2d\u5b89\u88c5\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u7684\u63d2\u4ef6\u3002\u9009\u62e9”File” -> “Settings” -> “Plugins”\uff0c\u5728\u641c\u7d22\u6846\u4e2d\u8f93\u5165”TensorFlow Integration”\u5e76\u5b89\u88c5\u8be5\u63d2\u4ef6\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u91cd\u542fPyCharm\u3002<\/p>\n
\u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u5bfc\u5165\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u5e76\u5f00\u59cb\u7f16\u5199\u4ee3\u7801\u4e86\u3002\u4e0b\u9762\u4ee5TensorFlow\u4e3a\u4f8b\uff0c\u6f14\u793a\u4e00\u4e2a\u7b80\u5355\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u6784\u5efa\u548c\u8bad\u7ec3\u8fc7\u7a0b\u3002<\/p>\n
import tensorflow as tf\n\n# \u52a0\u8f7d\u6570\u636e\u96c6\nmnist = tf.keras.datasets.mnist\n(x_train, y_train), (x_test, y_test) = mnist.load_data()\n\n# \u6570\u636e\u9884\u5904\u7406\nx_train, x_test = x_train \/ 255.0, x_test \/ 255.0\n\n# \u6784\u5efa\u6a21\u578b\nmodel = tf.keras.models.Sequential([\n tf.keras.layers.Flatten(input_shape=(28, 28)),\n tf.keras.layers.Dense(128, activation='relu'),\n tf.keras.layers.Dropout(0.2),\n tf.keras.layers.Dense(10, activation='softmax')\n])\n\n# \u7f16\u8bd1\u6a21\u578b\nmodel.compile(optimizer='adam',\n loss='sparse_categorical_crossentropy',\n metrics=['accuracy'])\n\n# \u8bad\u7ec3\u6a21\u578b\nmodel.fit(x_train, y_train, epochs=5)\n\n# \u8bc4\u4f30\u6a21\u578b\nmodel.evaluate(x_test, y_test)<\/pre>\n\u767b\u5f55\u540e\u590d\u5236 <\/p>\n
\u4ee5\u4e0a\u4ee3\u7801\u6f14\u793a\u4e86\u4f7f\u7528TensorFlow\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u5e76\u5bf9MNIST\u624b\u5199\u6570\u5b57\u6570\u636e\u96c6\u8fdb\u884c\u8bad\u7ec3\u548c\u8bc4\u4f30\u7684\u8fc7\u7a0b\u3002<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u6210\u529f\u5730\u5728Linux\u7cfb\u7edf\u4e0a\u914d\u7f6e\u4e86PyCharm\uff0c\u5e76\u4f7f\u7528TensorFlow\u8fdb\u884c\u4e86\u6df1\u5ea6\u5b66\u4e60\u7684\u5f00\u53d1\u5de5\u4f5c\u3002\u5f53\u7136\uff0cPyCharm\u4e5f\u652f\u6301\u5176\u4ed6\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u6bd4\u5982PyTorch\u548cKeras\u7b49\uff0c\u53ea\u9700\u8981\u6839\u636e\u76f8\u5e94\u7684\u6587\u6863\u8fdb\u884c\u914d\u7f6e\u5373\u53ef\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u5e0c\u671b\u5728Linux\u7cfb\u7edf\u4e0a\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u5f00\u53d1\u7684\u8bfb\u8005\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n
\u4ee5\u4e0a\u5c31\u662f\u5728Linux\u7cfb\u7edf\u4e0a\u4f7f\u7528PyCharm\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u7684\u914d\u7f6e\u65b9\u6cd5\u7684\u8be6\u7ec6\u5185\u5bb9\uff0c\u66f4\u591a\u8bf7\u5173\u6ce8\u7c73\u4e91\u5176\u5b83\u76f8\u5173\u6587\u7ae0\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"
\u5728linux\u7cfb\u7edf\u4e0a\u4f7f\u7528\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u7684\u914d\u7f6e\u65b9\u6cd5 \u6df1\u5ea6\u5b66\u4e60\u662f\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u4e00\u4e2a\u70ed\u95e8\u65b9\u5411\uff0c\u8bb8\u591a\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u90fd\u5728\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u89e3\u51b3\u5404\u79cd\u95ee\u9898\u3002\u800cPython\u4f5c\u4e3a\u4e00\u79cd\u5e7f\u6cdb\u4f7f\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u62e5\u6709\u8bb8\u591a\u4f18\u79c0\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5982TensorFlow\u3001PyTorch\u548cKeras\u7b49\u3002\u800cPyCharm\u4f5c\u4e3a\u4e00\u6b3e\u5f3a\u5927\u7684Python\u5f00\u53d1\u73af\u5883\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u63d2\u4ef6\uff0c\u975e\u5e38\u9002\u5408\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u7684\u5f00\u53d1\u5de5\u4f5c\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5728linux\u7cfb\u7edf\u4e0a\u4f7f\u7528pycharm\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\u7684\u914d\u7f6e\u65b9\u6cd5\uff0c\u5e76\u9644\u5e26\u4e00\u4e9b\u4ee3\u7801\u793a\u4f8b\u3002 \u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u5e76\u914d\u7f6ePyCharm\u3002\u53ef\u4ee5\u4eceJetBrains\u5b98\u65b9\u7f51\u7ad9\u4e0b\u8f7dPyCharm\u7684Linux\u7248\u672c\u5b89\u88c5\u5305\u3002\u4e0b\u8f7d\u5b8c\u6210\u540e\uff0c\u5728\u7ec8\u7aef\u4e2d\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a sudo tar -xzf pycharm-*.tar.gz -C \/opt\/ sudo ln -s \/opt\/pycharm-*\/bin\/pycharm.sh \/usr\/local\/bin\/pycharm \u767b\u5f55\u540e\u590d\u5236 \u7136\u540e\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5Python\u3002\u5927\u90e8\u5206\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u90fd\u652f\u6301Python 3.x\u7248\u672c\uff0c\u56e0\u6b64\u6211\u4eec\u53ef\u4ee5\u9009\u62e9\u5b89\u88c5Python 3.x\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Python\uff1a sudo apt-get update sudo apt-get install python3 \u767b\u5f55\u540e\u590d\u5236 \u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002\u4ee5TensorFlow\u4e3a\u4f8b\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5TensorFlow\uff1a pip install tensorflow \u767b\u5f55\u540e\u590d\u5236 \u5982\u679c\u9700\u8981\u4f7f\u7528GPU\u52a0\u901f\uff0c\u8fd8\u9700\u8981\u5b89\u88c5CUDA\u548ccuDNN\u3002\u53ef\u4ee5\u53c2\u8003TensorFlow\u5b98\u65b9\u6587\u6863\u8fdb\u884c\u5b89\u88c5\u548c\u914d\u7f6e\u3002 \u5b8c\u6210\u4ee5\u4e0a\u6b65\u9aa4\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u6253\u5f00PyCharm\u5e76\u521b\u5efa\u4e00\u4e2a\u65b0\u9879\u76ee\u3002\u5728\u521b\u5efa\u9879\u76ee\u8fc7\u7a0b\u4e2d\uff0c\u9009\u62e9Python\u89e3\u91ca\u5668\u4e3a\u6211\u4eec\u5b89\u88c5\u7684Python 3.x\u7248\u672c\u3002 \u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u5728PyCharm\u4e2d\u5b89\u88c5\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u7684\u63d2\u4ef6\u3002\u9009\u62e9”File” -> “Settings” -> “Plugins”\uff0c\u5728\u641c\u7d22\u6846\u4e2d\u8f93\u5165”TensorFlow Integration”\u5e76\u5b89\u88c5\u8be5\u63d2\u4ef6\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u91cd\u542fPyCharm\u3002 \u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u5bfc\u5165\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u5e76\u5f00\u59cb\u7f16\u5199\u4ee3\u7801\u4e86\u3002\u4e0b\u9762\u4ee5TensorFlow\u4e3a\u4f8b\uff0c\u6f14\u793a\u4e00\u4e2a\u7b80\u5355\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u6784\u5efa\u548c\u8bad\u7ec3\u8fc7\u7a0b\u3002 import tensorflow as tf # \u52a0\u8f7d\u6570\u636e\u96c6 mnist = tf.keras.datasets.mnist (x_train, y_train), (x_test, y_test) = […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-15754","post","type-post","status-publish","format-standard","hentry","category-os"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/15754","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=15754"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/15754\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=15754"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=15754"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=15754"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}