{"id":15659,"date":"2023-10-26T09:46:36","date_gmt":"2023-10-26T01:46:36","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=15659"},"modified":"2023-10-26T10:35:22","modified_gmt":"2023-10-26T02:35:22","slug":"%e9%80%82%e5%90%88%e5%88%9d%e5%ad%a6%e8%80%85%e7%9a%84%e4%b8%80%e4%ba%9b%e5%b8%b8%e7%94%a8%e7%9a%84%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e5%ba%93","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2023\/10\/26\/15659\/","title":{"rendered":"\u9002\u5408\u521d\u5b66\u8005\u7684\u4e00\u4e9b\u5e38\u7528\u7684\u673a\u5668\u5b66\u4e60\u5e93"},"content":{"rendered":"<div class=\"article-desc\">\u672c\u6587\u4e3b\u8981\u5206\u4eab\u4e00\u4e9b\u5e38\u7528\u7684\u4eba\u5de5\u667a\u80fd\u76f8\u5173\u7684\u5185\u5bb9\uff0c\u5305\u62ec\uff1a\u6a21\u578b\u8bad\u7ec3\u3001\u6570\u636e\u5904\u7406\u3001\u53c2\u6570\u4f18\u5316\u3001\u5b9e\u9a8c\u8ddf\u8e2a\u3001\u7279\u5b9a\u9886\u57df\u5e93\u4ee5\u53ca\u4e00\u4e9b\u5de5\u5177\u3002<\/div>\n<div id=\"postspictures\" class=\"article-content\">\n<div id=\"container\" class=\"container am-engine\" data-v-0719ea8d=\"\" data-element=\"root\">\n<p>\u5728\u4eba\u5de5\u667a\u80fd\u9879\u76ee\u5f00\u53d1\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u901a\u5e38\u4f1a\u4f7f\u7528\u5230\u5f88\u591a\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3001\u5404\u79cd\u6570\u636e\u5904\u7406\u5e93\u548c\u4e00\u4e9b\u5de5\u5177\u3002\u597d\u7528\u7684\u5e93\u5f88\u591a\uff0c\u4f46\u5bf9\u4e8e\u521d\u5b66\u8005\u6765\u8bf4\u5148\u805a\u7126\u5728\u4e00\u4e9b\u6bd4\u8f83\u5e38\u7528\u7684\u6846\u67b6\u3001\u5e93\u6216\u8005\u5de5\u5177\uff0c\u6709\u5229\u4e8e\u63d0\u9ad8\u6548\u7387\u3002\u4e0b\u9762\u4e3b\u8981\u5206\u4eab\u4e00\u4e9b\u5e38\u7528\u7684\u4eba\u5de5\u667a\u80fd\u76f8\u5173\u7684\u5185\u5bb9\uff0c\u5305\u62ec\uff1a\u6a21\u578b\u8bad\u7ec3\u3001\u6570\u636e\u5904\u7406\u3001\u53c2\u6570\u4f18\u5316\u3001\u5b9e\u9a8c\u8ddf\u8e2a\u3001\u7279\u5b9a\u9886\u57df\u5e93\u4ee5\u53ca\u4e00\u4e9b\u5de5\u5177\u3002<img data-dominant-color=\"131212\" data-has-transparency=\"true\" style=\"--dominant-color: #131212;\" loading=\"lazy\" decoding=\"async\" class=\"has-transparency alignnone size-full wp-image-15673\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/c43660206f23db628e514624a02363499d702a-1.png\" width=\"1024\" height=\"683\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/c43660206f23db628e514624a02363499d702a-1.png 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/c43660206f23db628e514624a02363499d702a-1-300x200.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/c43660206f23db628e514624a02363499d702a-1-768x512.png 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p><img data-dominant-color=\"1c6da8\" data-has-transparency=\"false\" style=\"--dominant-color: #1c6da8;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-15674\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/94c8c3552c05f75df9a728937ac17de1936460-1.png\" width=\"640\" height=\"440\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/94c8c3552c05f75df9a728937ac17de1936460-1.png 640w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/94c8c3552c05f75df9a728937ac17de1936460-1-300x206.png 300w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/p>\n<h3>\u4e00\u3001\u6a21\u578b\u8bad\u7ec3<\/h3>\n<h4>1.PyTorch<\/h4>\n<p><img data-dominant-color=\"f8f6f5\" data-has-transparency=\"false\" style=\"--dominant-color: #f8f6f5;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-15675\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/09b7ffd9403f3ae1700619056a6f7bbacd65f9-1.png\" width=\"1080\" height=\"319\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/09b7ffd9403f3ae1700619056a6f7bbacd65f9-1.png 1080w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/09b7ffd9403f3ae1700619056a6f7bbacd65f9-1-300x89.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/09b7ffd9403f3ae1700619056a6f7bbacd65f9-1-1024x302.png 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/09b7ffd9403f3ae1700619056a6f7bbacd65f9-1-768x227.png 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/p>\n<p>PyTorch\u662fFacebook\u5f00\u53d1\u5e76\u4e8e2017\u5e74\u5f00\u6e90\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u8fd9\u4e2a\u6846\u67b6\u57fa\u4e8e\u5f00\u6e90Torch\u5305\uff0c\u76ee\u524d\u662f\u4e1a\u754c\u4f7f\u7528\u6700\u5e7f\u6cdb\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002<\/p>\n<p>\u76ee\u524dPyTorch\u751f\u6001\u7cfb\u7edf\u5df2\u7ecf\u6bd4\u8f83\u5b8c\u5584\uff0c\u5e76\u5177\u6709\u5404\u79cd\u4e13\u7528\u5e93\uff0c\u4f8b\u5982\uff1a<\/p>\n<p>torchvision\uff08https:\/\/pytorch.org\/vision\/stable\/index.html\uff09\u6216torchaudio\uff08https:\/\/pytorch.org\/audio\/stable\/index.html\uff09\u3002\u56e0\u6b64\uff0cPyTorch\u652f\u6301\u7528\u4e8e\u51e0\u4e4e\u6240\u6709\u7c7b\u578b\u7684\u673a\u5668\u5b66\u4e60\u3002<\/p>\n<p>PyTorch\u7684\u6570\u636e\u7ed3\u6784\u662fTensor\u5bf9\u8c61\uff0c\u7528\u4e8e\u4fdd\u5b58\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u8fc7\u7a0b\u4f7f\u7528\u5230\u7684\u591a\u7ef4\u6570\u636e\u3002Tensor\u7684\u6982\u5ff5\u4e0eNumPy ndarray\u76f8\u4f3c\u3002PyTorch\u8fd8\u652f\u6301CUDA\u529f\u80fd\u7684NVIDIA GPU\uff0cROCm\uff0cMetal API\u548cTPU\u7b49\u6765\u63d0\u9ad8\u8bad\u7ec3\u6548\u7387\u3002<\/p>\n<p>PyTorch\u5e93\u6700\u91cd\u8981\u7684\u90e8\u5206\u662fnn modules\uff0c\u5b83\u5305\u542b\u4e86\u5c42\u548c\u5de5\u5177\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u6784\u5efa\u590d\u6742\u7684\u6a21\u578b\u3002<\/p>\n<p>\u4e0b\u9762\u662f\u4e00\u4e2aPyTorch\u5b9e\u73b0\u7b80\u5355\u795e\u7ecf\u7f51\u7edc\u793a\u4f8b\u3002<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\">\n<p><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_0\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">class NeuralNetwork(nn.Module):\r\n    def __init__(self):\r\n        super().__init__()\r\n        self.flatten = nn.Flatten()\r\n        self.linear_relu_stack = nn.Sequential(\r\n            nn.Linear(28*28, 512),\r\n            nn.ReLU(),\r\n            nn.Linear(512, 512),\r\n            nn.ReLU(),\r\n            nn.Linear(512, 10),\r\n        )\r\n    def forward(self, x):\r\n        x = self.flatten(x)\r\n        logits = self.linear_relu_stack(x)\r\n        return logits<\/code><\/pre>\n<ul id=\"code_id_0\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<li>14.<\/li>\n<li>15.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u76ee\u524d\uff0cPyTorch \u5df2\u7ecf\u53d1\u5e03\u4e862.0\uff0c\u76f8\u6bd4\u8fc7\u53bb\uff0c\u8fd9\u4e2a\u7248\u672c\u66f4\u5feb\u3001\u66f4\u63a5\u8fd1Python\u3001\u66f4\u7075\u6d3b\u3002<\/p>\n<h4>2.PyTorch Lightning<\/h4>\n<p><img data-dominant-color=\"e4def0\" data-has-transparency=\"false\" style=\"--dominant-color: #e4def0;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-15676\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/15088f12153f20d5d71263221011ddcafcf791-1.png\" width=\"1080\" height=\"543\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/15088f12153f20d5d71263221011ddcafcf791-1.png 1080w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/15088f12153f20d5d71263221011ddcafcf791-1-300x151.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/15088f12153f20d5d71263221011ddcafcf791-1-1024x515.png 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/15088f12153f20d5d71263221011ddcafcf791-1-768x386.png 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/p>\n<p>PyTorch Lightning\u662fPyTorch\u6846\u67b6\u7684\u4e00\u4e2a\u201c\u6269\u5c55\u201d\uff0c\u65e8\u5728\u51cf\u5c11\u7f16\u5199\u6a21\u578b\u6240\u9700\u7684\u4ee3\u7801\u91cf\u3002<\/p>\n<p>Lightning\u57fa\u4e8ehook\uff08\u94a9\u5b50\uff09\u7684\u6982\u5ff5\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5141\u8bb8\u6211\u4eec\u5728\u7279\u5b9a\u65f6\u95f4\u6267\u884c\u56de\u8c03\u51fd\u6570\uff0c\u6bd4\u5982\u8bad\u7ec3\u7ed3\u675f\u540e\u6267\u884c\u4e00\u4e9b\u6536\u5c3e\u7684\u5de5\u4f5c\u6216\u8005\u8f93\u51fa\u3002<\/p>\n<p>Trainers Lighting\u5c06\u8bb8\u591a\u5fc5\u987b\u5728PyTorch\u4e2d\u5904\u7406\u7684\u529f\u80fd\u81ea\u52a8\u5316\u5b9e\u73b0\u4e86\uff0c\u4f8b\u5982\uff1a\u5faa\u73af\u3001\u786c\u4ef6\u8c03\u7528\u6216\u96f6\u68af\u5ea6\u3002<\/p>\n<p>\u4e0b\u9762\u662fPyTorch\uff08\u5de6\uff09\u4e0ePyTorch Lightning\uff08\u53f3\uff09\u7684\u4ee3\u7801\u7247\u6bb5\u5bf9\u6bd4\u3002<\/p>\n<p><img data-dominant-color=\"f0f0f1\" data-has-transparency=\"false\" style=\"--dominant-color: #f0f0f1;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-15677\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/d82c58e43fc6c3c852a0774e27bfb40640db37-1.png\" width=\"1080\" height=\"639\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/d82c58e43fc6c3c852a0774e27bfb40640db37-1.png 1080w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/d82c58e43fc6c3c852a0774e27bfb40640db37-1-300x178.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/d82c58e43fc6c3c852a0774e27bfb40640db37-1-1024x606.png 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/d82c58e43fc6c3c852a0774e27bfb40640db37-1-768x454.png 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/p>\n<h4>3.TensorFlow<\/h4>\n<p><img data-dominant-color=\"f8efe7\" data-has-transparency=\"false\" style=\"--dominant-color: #f8efe7;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-15678\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/f101fa451aa15adc219570dc5147100cb02339-1.png\" width=\"1080\" height=\"335\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/f101fa451aa15adc219570dc5147100cb02339-1.png 1080w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/f101fa451aa15adc219570dc5147100cb02339-1-300x93.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/f101fa451aa15adc219570dc5147100cb02339-1-1024x318.png 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/f101fa451aa15adc219570dc5147100cb02339-1-768x238.png 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/p>\n<p>TensorFlow\u662f\u7531Google Brain\u56e2\u961f\u5f00\u53d1\u5e76\u4e8e2015\u5e74\u53d1\u5e03\u7684\u6df1\u5ea6\u5b66\u4e60\u5e93\uff0cTensorFlow2.0\u7248\u672c\u4e8e2019\u5e74\u53d1\u5e03\u3002\u5b83\u652f\u6301Java\u3001C++\u3001Python\u4ee5\u53caJavaScript\u7b49\u591a\u79cd\u5f00\u53d1\u8bed\u8a00\u3002<\/p>\n<p>TensorFlow\u4e0ePyTorch\u7c7b\u4f3c\uff0c\u4e5f\u662f\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684\u6846\u67b6\u3002\u5e76\u4e14\u4e5f\u6709\u4e00\u4e2a\u76f8\u5f53\u4e30\u5bcc\u7684\u751f\u6001\uff0c\u5305\u62ec\u5de5\u5177\u548c\u5e93\uff0c\u4f8b\u5982\uff1a\u4f18\u5316\u5de5\u5177\u5305TensorBoard\u3001\u7f16\u8bd1\u5668\u7b49\u3002<\/p>\n<p>tf.nn\u662fTensorFlow\u7684\u6838\u5fc3\u6a21\u5757\uff0c\u5b83\u63d0\u4f9b\u4e86\u8bad\u7ec3\u6a21\u578b\u6240\u9700\u7684\u6784\u5efa\u5757\u3002Tensorflow\u62e5\u6709\u81ea\u5df1\u7684\u7528\u4e8e\u4fdd\u5b58\u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5411\u91cf\u6570\u636e\u7684Tensor\u5bf9\u8c61\u3002\u53e6\u5916\uff0c\u5b83\u4e5f\u652f\u6301\u6240\u6709\u5e38\u89c1\u7684\u52a0\u901f\u5668\uff0c\u5982CUDA\u6216RoCm\uff0cMetal API\u548cTPU\u3002<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\">\n<p><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_1\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">class NeuralNetwork(models.Model):\r\n    def __init__(self):\r\n        super().__init__()\r\n        self.flatten = layers.Flatten()\r\n        self.linear_relu_stack = models.Sequential([\r\n            layers.Dense(512, activation='relu'),\r\n            layers.Dense(512, activation='relu'),\r\n            layers.Dense(10)\r\n        ])\r\n    def call(self, x):\r\n        x = self.flatten(x)\r\n        logits = self.linear_relu_stack(x)\r\n        return logits<\/code><\/pre>\n<ul id=\"code_id_1\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h4>4.Keras<\/h4>\n<p><img data-dominant-color=\"e7cbbf\" data-has-transparency=\"false\" style=\"--dominant-color: #e7cbbf;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-15679\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/615f90c38cd365c1b13282caa86c26780649a9-1.png\" width=\"1080\" height=\"457\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/615f90c38cd365c1b13282caa86c26780649a9-1.png 1080w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/615f90c38cd365c1b13282caa86c26780649a9-1-300x127.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/615f90c38cd365c1b13282caa86c26780649a9-1-1024x433.png 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/615f90c38cd365c1b13282caa86c26780649a9-1-768x325.png 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/p>\n<p>Keras\u662f\u4e00\u4e2a\u57fa\u4e8eTensorFlow\u6846\u67b6\uff0c\u4f46\u5374\u63d0\u4f9b\u4e86\u6bd4TensorFlow\u66f4\u9ad8\u7ea7\u7684\u63a5\u53e3\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u6709\u70b9\u50cfPyTorch Lightning \u3002Keras\u7531Fran\u00e7ois Chollet\u5f00\u53d1\u5e76\u4e8e2015\u5e74\u53d1\u5e03\uff0c\u5b83\u53ea\u652f\u6301Python\u5f00\u53d1\u8bed\u8a00\u3002Keras\u4e5f\u6709\u81ea\u5df1\u7684\u4e00\u6574\u5957Python\u5e93\u548c\u7279\u5b9a\u9886\u57df\u5e93\uff0c\u4f8b\u5982\uff1aKerasCV\u7528\u4e8eCV\u9886\u57df\u3001KerasNLP\u7528\u4e8eNLP\u9886\u57df\u3002<\/p>\n<p>\u5728Keras2.4\u7248\u672c\u4e4b\u524d\uff0cKeras\u652f\u6301\u7684\u540e\u7aef\u4e0d\u4ec5\u4ec5\u662fTensorFlow\uff0c\u4f46\u5728\u4e4b\u540e\u7684\u7248\u672c\u53ea\u652f\u6301TensorFlow\u3002\u7531\u4e8eKeras\u53ea\u662fTensorFlow\u4e0a\u5c42\u63a5\u53e3\uff0c\u5b83\u652f\u6301\u7684\u52a0\u901f\u5668\u4e5f\u548cTensorFlow\u7c7b\u4f3c\u3002\u4e0b\u9762\u662fKeras\u4ee3\u7801\u4f8b\u5b50\u3002<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\">\n<p><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_2\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">class NeuralNetwork(models.Model):\r\n    def __init__(self):\r\n        super().__init__()\r\n        self.flatten = layers.Flatten()\r\n        self.linear_relu_stack = models.Sequential([\r\n            layers.Dense(512, activation='relu'),\r\n            layers.Dense(512, activation='relu'),\r\n            layers.Dense(10)\r\n        ])\r\n    def call(self, x):\r\n        x = self.flatten(x)\r\n        logits = self.linear_relu_stack(x)\r\n        return logits<\/code><\/pre>\n<ul id=\"code_id_2\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h4>Keras\u3001TensorFlow\u3001PyTorch\u3001PyTorch\u00a0Lightning\u00a0\u4e4b\u95f4\u7684\u533a\u522b<\/h4>\n<p>\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u5f88\u591a\uff0c\u6240\u4ee5\u7ed9\u6df1\u5ea6\u5b66\u4e60\u9879\u76ee\u9009\u62e9\u6b63\u786e\u7684\u6846\u67b6\u53ef\u80fd\u4f1a\u6709\u70b9\u7ea0\u7ed3\u3002PyTorch\u3001PyTorch Lightning \u3001TensorFlow\u3001Keras \u90fd\u662f\u76ee\u524d\u6bd4\u8f83\u6d41\u884c\u7684\u6846\u67b6\uff0c<\/p>\n<p>\u5176\u5b9e\uff0c\u8fd9\u56db\u4e2a\u6846\u67b6\u7684\u57fa\u7840\u53ea\u6709PyTorch\u548cTensorFlow\u4e24\u4e2a\u65b9\u5411\u3002\u8fd9\u4e9b\u6846\u67b6\u57fa\u672c\u4e0a\u80fd\u591f\u6ee1\u8db3\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u521d\u5b66\u8005\u7684\u9700\u6c42\uff0c\u4f46\u7531\u4e8e\u6bcf\u4e2a\u9879\u76ee\u7684\u8981\u6c42\u90fd\u4e0d\u4e00\u6837\uff0c\u6bcf\u4e2a\u5f00\u53d1\u4eba\u5458\u4e5f\u6709\u4e0d\u4e00\u6837\u4f7f\u7528\u4e60\u60ef\uff0c\u5927\u5bb6\u90fd\u6709\u81ea\u5df1\u5728\u4e13\u4e1a\u9886\u57df\u7684\u4f18\u5148\u8003\u8651\u65b9\u5411\u3002<\/p>\n<p>PyTorch \u548c TensorFlow\u8fd9\u4e24\u4e2a\u6846\u67b6\u4e4b\u95f4\u7684\u4e3b\u8981\u533a\u522b\u5728\u4e8e\u5b83\u4eec\u5bf9\u6a21\u578b\u7684\u5b9a\u4e49\u65b9\u5f0f\u548c\u6267\u884c\u8fc7\u7a0b\u4e0d\u540c\u3002<\/p>\n<p>(1) PyTorch<\/p>\n<p>PyTorch\u4f7f\u7528\u52a8\u6001\u8ba1\u7b97\u56fe\uff0c\u8fd9\u610f\u5473\u7740\u56fe\u662f\u5728\u6267\u884c\u8fc7\u7a0b\u4e2d\u52a8\u6001\u5b9a\u4e49\u7684\u3002\u8fd9\u4f7f\u5f97\u4ee3\u7801\u8c03\u8bd5\u66f4\u52a0\u7075\u6d3b\u6027\u548c\u76f4\u89c2\uff0c\u4f18\u70b9\u662f\uff0c\u5f00\u53d1\u4eba\u5458\u53ef\u4ee5\u5728\u8fd0\u884c\u65f6\u4fee\u6539\u56fe\u5e76\u8f7b\u677e\u68c0\u67e5\u4e2d\u95f4\u8fc7\u7a0b\u7684\u8f93\u51fa\uff0c\u7f3a\u70b9\u662f\uff0c\u8fd9\u79cd\u65b9\u6cd5\u53ef\u80fd\u6bd4\u9759\u6001\u56fe\u6548\u7387\u4f4e\uff0c\u7279\u522b\u662f\u5bf9\u4e8e\u590d\u6742\u6a21\u578b\u3002\u7136\u800c\uff0cPyTorch 2.0\u5f00\u59cb\u901a\u8fc7torch.compile\u548cFX\u56fe\u6765\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u3002<\/p>\n<p>(2) TensorFlow<\/p>\n<p>TensorFlow\u4f7f\u7528\u9759\u6001\u8ba1\u7b97\u56fe\uff0c\u8fd9\u4e9b\u56fe\u5728\u6267\u884c\u4e4b\u524d\u88ab\u7f16\u8bd1\u3002\u8fd9\u4f7f\u5f97\u6267\u884c\u6548\u7387\u66f4\u9ad8\uff0c\u56e0\u4e3a\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u9488\u5bf9\u76ee\u6807\u786c\u4ef6\u8fdb\u884c\u4f18\u5316\u56fe\u6216\u8005\u5e76\u884c\u5316\u56fe\u3002\u4f46\u662f\uff0c\u5b83\u7684\u8c03\u8bd5\u66f4\u52a0\u56f0\u96be\uff0c\u56e0\u4e3a\u4e0d\u5bb9\u6613\u89c2\u5bdf\u4e2d\u95f4\u7ed3\u679c\u3002<\/p>\n<p>\u6839\u636e2023\u5e74HuggingFace\u7684\u6a21\u578b\u6570\u91cf\u7edf\u8ba1 pytorch\u5df2\u7ecf\u5927\u5927\u8d85\u8fc7tensorflow\u3002<\/p>\n<p><img data-dominant-color=\"f7efed\" data-has-transparency=\"false\" style=\"--dominant-color: #f7efed;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-15680\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/465b77115081bebaea55123523af67708f8fb9-1.png\" width=\"1080\" height=\"685\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/465b77115081bebaea55123523af67708f8fb9-1.png 1080w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/465b77115081bebaea55123523af67708f8fb9-1-300x190.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/465b77115081bebaea55123523af67708f8fb9-1-1024x649.png 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/465b77115081bebaea55123523af67708f8fb9-1-768x487.png 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/p>\n<h3>\u4e8c\u3001\u6570\u636e\u5904\u7406\u5e93<\/h3>\n<h4>1.pandas<\/h4>\n<p>pandas\u53ef\u4ee5\u8bf4\u662f\u6700\u8457\u540d\u7684\u6570\u636e\u5904\u7406 Python\u5e93\u3002\u6700\u521d\u4e8e2008\u5e74\u53d1\u5e03\uff0c\u57282012\u5e74\u53d1\u5e03\u4e861.0\u7248\u672c\u3002\u5b83\u63d0\u4f9b\u4e86\u8fc7\u6ee4\u3001\u805a\u5408\u3001\u6570\u636e\u8f6c\u6362\u4ee5\u53ca\u6570\u636e\u96c6\u5408\u5e76\u7b49\u529f\u80fd\u3002\u8fd9\u4e2a\u5e93\u7684\u6838\u5fc3\u662fDataFrame\u5bf9\u8c61\uff0c\u8fd9\u4e2a\u5bf9\u8c61\u662f\u4efb\u4f55\u7c7b\u578b\u6570\u636e\u7684\u591a\u7ef4\u8868\u3002\u6709\u4e9b\u529f\u80fd\u662f\u7528\u7eafC\u7f16\u5199\u7684\uff0c\u6240\u4ee5\u8be5\u5e93\u6027\u80fd\u975e\u5e38\u597d\u3002\u9664\u4e86\u6027\u80fd\u4e4b\u5916\uff0cpandas\u8fd8\u63d0\u4f9b\u4e86\u6570\u636e\u6e05\u6d17\u548c\u9884\u5904\u7406\u3001\u5220\u9664\u91cd\u590d\u9879\u3001\u586b\u5145\u7a7a\u503c\u6216nan\u503c\u3001\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u3001\u91cd\u91c7\u6837\u3001\u52a0\u7a97\u3001\u65f6\u79fb\u7b49\u65b9\u9762\u7684\u529f\u80fd\u3002\u6b64\u5916\uff0c\u5b83\u8fd8\u53ef\u4ee5\u6267\u884c\u5404\u79cd\u8f93\u5165\/\u8f93\u51fa\u64cd\u4f5c\uff1a\u4f8b\u5982\uff1a\u8bfb\u5199.csv\u6216.xlsx\u6587\u4ef6\u3001\u6570\u636e\u5e93\u67e5\u8be2\u3001GCP BigQuery\u6570\u636e\u52a0\u8f7d<\/p>\n<h4>2.NumPy<\/h4>\n<p>NumPy\u4e5f\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u4f7f\u7528BSD\u8bb8\u53ef\u8bc1\u3002NumPy\u6700\u91cd\u8981\u7684\u529f\u80fd\u662fndarray\uff0cndarray\u662f\u4e00\u4e2a\u8868\u793a\u591a\u7ef4\u6570\u5b57\u6570\u7ec4\u7684\u7ed3\u6784\u3002\u9664\u4e86ndarray\uff0cNumPy\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u7528\u4e8e\u5904\u7406\u6570\u636e\u7684\u9ad8\u7ea7\u6570\u5b66\u51fd\u6570\u548c\u6570\u5b66\u8fd0\u7b97\u3002NumPy\u8fd8\u975e\u5e38\u6ce8\u91cd\u6027\u80fd\uff0c\u5305\u542b\u8bb8\u591a\u9884\u5b9e\u73b0\u7684\u7b97\u6cd5\uff0c\u4ee5\u51cf\u5c11NumPy\u51fd\u6570\u7684\u6267\u884c\u65f6\u95f4\u3002<\/p>\n<h4>3.SciPy<\/h4>\n<p>SciPy\u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\u3002ndarray\u662fSciPy\u7684\u57fa\u672c\u6570\u636e\u7ed3\u6784\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u8be5\u5e93\u8fd8\u6dfb\u52a0\u4e86\u4f18\u5316\u3001\u7ebf\u6027\u4ee3\u6570\u3001\u4fe1\u53f7\u5904\u7406\u3001\u63d2\u503c\u548c\u5907\u7528\u77e9\u9635\u7b49\u529f\u80fd\u3002\u5b83\u6bd4NumPy\u66f4\u9ad8\u7ea7\uff0c\u56e0\u6b64\u53ef\u4ee5\u63d0\u4f9b\u66f4\u590d\u6742\u7684\u529f\u80fd\u3002<\/p>\n<h3>\u4e09\u3001\u8d85\u53c2\u6570\u4f18\u5316<\/h3>\n<h4>1.Ray Tune<\/h4>\n<p>Ray Tune\u662fRay\u5de5\u5177\u96c6\u7684\u4e00\u90e8\u5206\uff0cRay\u5de5\u5177\u96c6\u662f\u7528\u4e8e\u6784\u5efa\u673a\u5668\u5b66\u4e60\u548cPython\u7684\u5206\u5e03\u5f0f\u5e94\u7528\u7a0b\u5e8f\u7684\u5e93\u3002ML\u5e93\u4e2d\u7684Tune\u90e8\u5206\uff0c\u901a\u8fc7\u63d0\u4f9b\u591a\u79cd\u641c\u7d22\u7b97\u6cd5\uff0c\u4ee5\u4f18\u5316\u8d85\u542f\u52a8\u529f\u80fd\u3002\u4f8b\u5982\u7f51\u683c\u641c\u7d22\u3001\u8d85\u9891\u5e26\u6216\u8d1d\u53f6\u65af\u4f18\u5316\u3002<\/p>\n<p>Ray Tune\u7684\u4e3b\u8981\u6982\u5ff5\u5305\u62ec\uff1a<\/p>\n<ul data-id=\"u738a58b-LWhDID2k\">\n<li data-id=\"ld70c578-4RXIFfdJ\">Trainables \uff1a\u7528\u4e8e\u5411\u6211\u4eec\u8981\u4f18\u5316\u7684\u6a21\u578b\u4f20\u9012\u7684Tune\u5bf9\u8c61\u53c2\u6570\u3002<\/li>\n<li data-id=\"ld70c578-AYBQnC0L\">Search space\uff1a\u5305\u542b\u6211\u4eec\u8981\u5728\u5f53\u524d\u8bd5\u9a8c\u4e2d\u68c0\u67e5\u7684\u6240\u6709\u8d85\u53c2\u6570\u503c<\/li>\n<li data-id=\"ld70c578-GNhRKYZe\">Tuner \uff1a\u4e00\u4e2a\u6267\u884c\u8c03\u7528tuner.fit()\u7684\u8fd4\u56de\u5bf9\u8c61\u3002\u542f\u52a8\u641c\u7d22\u6700\u4f73\u8d85\u53c2\u6570\u96c6\u7684\u8fc7\u7a0b\u3002\u5b83\u81f3\u5c11\u9700\u8981\u4f20\u9012\u4e00\u4e2a\u53ef\u8bad\u7ec3\u5bf9\u8c61\u548c\u641c\u7d22\u7a7a\u95f4<\/li>\n<li data-id=\"ld70c578-eNMCfoER\">Trial \uff1a\u6bcf\u4e2aTrial\u8868\u793a\u6765\u81ea\u641c\u7d22\u7a7a\u95f4\u7684\u7cbe\u786e\u53c2\u6570\u96c6\uff0cTrial\u7531Ray Tune Tuner\u751f\u6210\u3002\u56e0\u4e3a\u5b83\u4ee3\u8868\u8fd0\u884c\u8c03\u8c10\u5668\u7684\u8f93\u51fa\uff0c\u6240\u4ee5Trial\u5305\u542b\u7528\u4e8e\u7279\u5b9a\u8bd5\u9a8c\u7684\u914d\u7f6e\u3001Trial ID \u7b49\u4fe1\u606f\u3002<\/li>\n<li data-id=\"ld70c578-e9EGUcZ4\">Search algorithms \uff1a\u7528\u4e8eTuner.fit\u6267\u884c\u7684\u4e00\u79cd\u7b97\u6cd5\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0bRay Tune\u5c06\u4f7f\u7528Radom Search\u4f5c\u4e3a\u9ed8\u8ba4\u503c\u3002<\/li>\n<li data-id=\"ld70c578-eUMne7rQ\">Schedulers\uff1a\u4e00\u7ec4\u8d1f\u8d23\u7ba1\u7406\u8fd0\u884c\u7684\u5bf9\u8c61\u3002\u4ed6\u4eec\u53ef\u4ee5\u6682\u505c\u3001\u505c\u6b62\u548c\u5728\u6267\u884c\u8fc7\u7a0b\u4e2d\u6d4b\u8bd5\u3002\u53ef\u4ee5\u63d0\u9ad8\u6548\u7387\u3001\u51cf\u5c11\u8fd0\u884c\u65f6\u95f4\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0bTune\u9009\u62e9FIFO\u4f5c\u4e3a\u9ed8\u8ba4\u503c\uff0c\u50cf\u7ecf\u5178\u961f\u5217\u4e00\u6837\u9010\u4e2a\u6267\u884c\u3002<\/li>\n<li data-id=\"ld70c578-ehTncph0\">Run analyses \uff1a\u4ee5ResultGrid\u5bf9\u8c61\u7684\u5f62\u5f0f\u5305\u88c5Tuner.fit\u6267\u884c\u7ed3\u679c\u7684\u5bf9\u8c61\u3002\u5b83\u5305\u542b\u4e0e\u8fd0\u884c\u76f8\u5173\u7684\u6240\u6709\u6570\u636e\uff0c\u4f8b\u5982\u6240\u6709\u8bd5\u9a8c\u4e2d\u7684\u6700\u4f73\u7ed3\u679c\u6216\u6765\u81ea\u6240\u6709\u8bd5\u9a8c\u7684\u6570\u636e\u3002<\/li>\n<\/ul>\n<h4>2.BoTorch<\/h4>\n<p>BoTorch\u662f\u4e00\u4e2a\u57fa\u4e8ePyTorch\u7684\u5e93\uff0c\u662fPyTorch\u751f\u6001\u7cfb\u7edf\u7684\u4e00\u90e8\u5206\u3002\u5b83\u4e13\u6ce8\u4e8e\u8d1d\u53f6\u65af\u7b97\u6cd5\u7684\u8d85\u53c2\u6570\u4f18\u5316\u3002\u4f5c\u4e3a\u9700\u8981\u4e0ePyTorch\u914d\u5408\u4f7f\u7528\uff0c\u8fd8\u5904\u4e8e\u6d4b\u8bd5\u7248\u548c\u5bc6\u96c6\u7684\u5f00\u53d1\u4e2d\uff0c\u56e0\u6b64\u53ef\u80fd\u4f1a\u51fa\u73b0\u4e00\u4e9b\u610f\u60f3\u4e0d\u5230\u7684\u95ee\u9898\u3002<\/p>\n<h3>\u56db\u3001\u8ddf\u8e2a\u76d1\u6d4b\u5de5\u5177<\/h3>\n<h4>1.Neptune.ai<\/h4>\n<p>Neptune.ai\u662f\u4e00\u4e2a\u7f51\u9875\u5de5\u5177\uff0c\u65e2\u53ef\u4ee5\u4f5c\u4e3a\u8ddf\u8e2a\u76d1\u6d4b\u4e5f\u53ef\u4ee5\u4f5c\u4e3a\u6a21\u578b\u6ce8\u518c\u8868\u3002\u8be5\u5de5\u5177\u57fa\u4e8e\u4e91\u5e73\u53f0\uff0c\u91c7\u7528SaaS\u670d\u52a1\u6a21\u5f0f\u3002<\/p>\n<p>Neptune.ai\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4eea\u8868\u677f\uff0c\u53ef\u4ee5\u89c2\u5bdf\u6a21\u578b\u8bad\u7ec3\u7684\u7ed3\u679c\uff0c\u8fd8\u53ef\u4ee5\u7528\u4e8e\u5b58\u50a8\u8fd0\u884c\u53c2\u6570\u4ee5\u53ca\u8fd0\u884c\u53c2\u6570\u7684\u7248\u672c\u5316\u3002<\/p>\n<p>Neptune.ai\u8fd8\u53ef\u4ee5\u63a7\u5236\u6a21\u578b\u7684\u7248\u672c\u3002\u8be5\u5de5\u5177\u4e0e\u5e93\u65e0\u5173\uff0c\u53ef\u4ee5\u6258\u7ba1\u4f7f\u7528\u4efb\u4f55\u5e93\u521b\u5efa\u7684\u6a21\u578b\u3002\u4e3a\u4e86\u652f\u6301\u7cfb\u7edf\u96c6\u6210\uff0cNeptune\u8fd8\u516c\u5f00\u4e86\u4e00\u4e2aREST API\uff0c\u5e76\u914d\u5957\u5b8c\u5584\u7684API\u6587\u6863\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7pip\u5b89\u88c5\u5ba2\u6237\u7aef\u5e93\u3002<\/p>\n<p>\u53ef\u60dc\u7684\u662f\uff0c\u8be5\u5de5\u5177\u9700\u8981\u4ed8\u8d39\u7684\u3002\u4f46\u662f\uff0c\u5982\u679c\u53ea\u662f\u4e2a\u4eba\u9879\u76ee\u6216\u8005\u7814\u7a76\u673a\u6784\uff0c\u4e5f\u53ef\u4ee5\u7533\u8bf7\u514d\u8d39\u4f7f\u7528\u3002<\/p>\n<h4>2.Weights &amp; Biases<\/h4>\n<p>Weights &amp; Biases\u4e5f\u79f0\u4e3aWandB\u6216W&amp;B\uff0c\u8fd9\u662f\u4e00\u4e2a\u57fa\u4e8eWeb\u7684\u5de5\u5177\uff0c\u5b83\u63d0\u4f9b\u4e86\u53ef\u7528\u4f5c\u8ddf\u8e2a\u76d1\u6d4b\u5de5\u5177\u548c\u6a21\u578b\u6ce8\u518c\u8868\u7684\u6240\u6709\u9700\u8981\u7684\u529f\u80fd\uff0c\u4e0eneptune.ai\u529f\u80fd\u7c7b\u4f3c\u3002\u7136\u800c\u76f8\u6bd4neptune.ai\uff0cWeights &amp; Biases\u7684\u53ef\u89c6\u5316\u6548\u679c\u66f4\u4f73\u3002\u6b64\u5916\uff0cWandB\u4f3c\u4e4e\u66f4\u4e13\u6ce8\u4e8e\u4e3a\u4e2a\u4eba\u9879\u76ee\u548c\u7814\u7a76\u4eba\u5458\u63d0\u4f9b\u670d\u52a1\uff0c\u5e76\u4e0d\u592a\u5f3a\u8c03\u534f\u4f5c\u3002<\/p>\n<p>Weights Biases\u8fd8\u516c\u5f00\u4e86\u4e00\u4e2aREST\u7684API\u6765\u652f\u6301\u7cfb\u7edf\u96c6\u6210\u3002\u4e0eNeptune.ai\u4e0d\u540c\u7684\u662f\uff0c\u5b83\u7684\u5ba2\u6237\u7aef\u5e93\u662fJava\u5305\u800c\u4e0d\u662fPython\u5e93\uff0c\u8fd9\u5c31\u8981\u6c42\u673a\u5668\u5b66\u4e60\u6a21\u578b\u662fjava\u5f00\u53d1\u7684\u3002<\/p>\n<h4>3.TensorBoard<\/h4>\n<p>TensorBoard\u662fTensorFlow\u751f\u6001\u7684\u53ef\u89c6\u5316\u5de5\u5177\u5305\u3002\u7528\u4e8e\u7b97\u6cd5\u8fd0\u884c\u76d1\u6d4b\u548c\u6307\u6807\u53ef\u89c6\u5316\u3002\u4f46\u5b83\u4e5f\u53ef\u4ee5\u4e0eKeras\u6216\u8005PyTorch\u4e00\u8d77\u4f7f\u7528\u3002<\/p>\n<p>\u6b64\u5916\uff0c\u5b83\u662f\u514d\u8d39\u7684\uff0c\u514d\u8d39\u7684\uff0c\u514d\u8d39\u7684\uff0c\u91cd\u8981\u7684\u4e8b\u8bf4\u4e09\u904d\u3002\u7136\u800c\uff0cTensorBoard\u5e76\u6ca1\u6709\u6a21\u578b\u6ce8\u518c\u8868\u529f\u80fd\u3002\u7531\u4e8e\u5b83\u662fTensorFlow\u751f\u6001\u7684\u4e00\u4e2a\u5de5\u5177\uff0c\u56e0\u6b64\u5b83\u4e0eKeras\u6216TensorFlow\u7684\u96c6\u6210\u6bd4\u5176\u4ed6\u5de5\u5177\u90fd\u66f4\u52a0\u987a\u7545\u3002<\/p>\n<h3>\u4e94\u3001\u7279\u5b9a\u9886\u57df\u5e93<\/h3>\n<h4>1.OpenCV<\/h4>\n<p>OpenCV\u7684\u5168\u79f0\u662fOpen Source Computer Vision Library\uff0c\u662f\u4e00\u4e2a\u8de8\u5e73\u53f0\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\u3002OpenCV\u662f\u7531\u82f1\u7279\u5c14\u516c\u53f8\u53d1\u8d77\u5e76\u53c2\u4e0e\u5f00\u53d1\uff0c\u4ee5BSD\u8bb8\u53ef\u8bc1\u6388\u6743\u53d1\u884c\uff0c\u53ef\u4ee5\u5728\u5546\u4e1a\u548c\u7814\u7a76\u9886\u57df\u4e2d\u514d\u8d39\u4f7f\u7528\u3002OpenCV\u53ef\u7528\u4e8e\u5f00\u53d1\u5b9e\u65f6\u7684\u56fe\u50cf\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u4ee5\u53ca\u6a21\u5f0f\u8bc6\u522b\u7a0b\u5e8f\u3002<\/p>\n<p>opencv\u4e3b\u8981\u7528\u4e8e\u89e3\u51b3\u4ee5\u4e0b\u51e0\u4e2a\u9886\u57df\u7684\u95ee\u9898\uff1a<\/p>\n<ul data-id=\"u738a58b-J8c59mS2\">\n<li data-id=\"ld70c578-eRYq8BrB\">\u589e\u5f3a\u73b0\u5b9e<\/li>\n<li data-id=\"ld70c578-ogiGsK6t\">\u4eba\u8138\u8bc6\u522b<\/li>\n<li data-id=\"ld70c578-mmYRDaql\">\u624b\u52bf\u8bc6\u522b<\/li>\n<li data-id=\"ld70c578-dhhp3U04\">\u4eba\u673a\u4ea4\u4e92<\/li>\n<li data-id=\"ld70c578-FgYlk2Wq\">\u52a8\u4f5c\u8bc6\u522b<\/li>\n<li data-id=\"ld70c578-ojGx0Uxu\">\u8fd0\u52a8\u8ddf\u8e2a<\/li>\n<li data-id=\"ld70c578-U4KXMZWV\">\u7269\u4f53\u8bc6\u522b<\/li>\n<li data-id=\"ld70c578-ab5arUp4\">\u56fe\u50cf\u5206\u5272<\/li>\n<li data-id=\"ld70c578-2jKxzrwP\">\u673a\u5668\u4eba<\/li>\n<\/ul>\n<h4>2.GeoPandas<\/h4>\n<p>GeoPandas\u662f\u4e00\u4e2a\u5efa\u7acb\u5728pandas\u4e4b\u4e0a\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u662f\u7528\u6765\u5904\u7406\u5730\u7406\u7a7a\u95f4\u6570\u636e\u7684python\u7b2c\u4e09\u65b9\u5e93\u3002\u652f\u6301\u4ee5GeJSON\uff0cshapefile\u683c\u5f0f\u8bfb\u5199\u6570\u636e\uff0c\u6216\u4ecePostGIS\u7cfb\u7edf\u8bfb\u53d6\u6570\u636e\u3002\u9664\u4e86\u4f9d\u8d56\u4e8epandas\uff0c\u5b83\u8fd8\u4f9d\u8d56\u4e8ePyGEOS\u3001GeoPy\u6216Shapely\u7b49\u7a7a\u95f4\u6570\u636e\u5e93\u3002<\/p>\n<h3>\u516d\u3001\u5176\u4ed6\u5de5\u5177<\/h3>\n<h4>1.Matplotlib<\/h4>\n<p>\u987e\u540d\u601d\u4e49\uff0cMatplotlib\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u5404\u79cd\u56fe\u8868\u7684\u5e93\u3002\u5b83\u652f\u6301\u521b\u5efa\u5404\u79cd\u590d\u6742\u7684\u56fe\u8868\uff1a\u76f4\u7ebf\u56fe\u3001\u76f4\u65b9\u56fe\u30013D\u5f62\u72b6\u6216\u6781\u5750\u6807\u56fe\u7b49\u7b49\u3002\u5b83\u8fd8\u5141\u8bb8\u81ea\u5b9a\u4e49\u56fe\u8868\u7684\u989c\u8272\u6216\u6807\u7b7e\u4e4b\u7c7b\u7684\u5185\u5bb9\u3002<\/p>\n<h4>2.Seaborn<\/h4>\n<p>Seaborn\u63d0\u4f9b\u7684\u529f\u80fd\u4e0eMatplotlib\u63d0\u4f9b\u7684\u529f\u80fd\u7c7b\u4f3c\u3002\u7136\u800c\uff0cSeaborn\u7684API\u66f4\u52a0\u9ad8\u7ea7\uff0c\u4ee3\u7801\u91cf\u66f4\u5c11\u3001\u8c03\u8272\u677f\u66f4\u67d4\u548c\u3001\u5916\u89c2\u8bbe\u8ba1\u66f4\u597d\u770b\u3002\u6b64\u5916\uff0cSeaborn\u8fd8\u5f88\u5bb9\u6613\u4e0epandas\u96c6\u6210\u3002<\/p>\n<p>\u4ee5\u4e0b\u5206\u522b\u662f\u4f7f\u7528Matplotlib\u548cSeaborn\u521b\u5efa\u7684\u70ed\u56fe\u7684\u4ee3\u7801\u3002<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\">\n<p><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_3\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">import matplotlib.pyplot as plt\r\nimport numpy as np\r\nimport seaborn as sns\r\ndata = np.random.rand(5, 5)\r\nfig, ax = plt.subplots()\r\nheatmap = ax.pcolor(data, cmap=plt.cm.Blues)\r\nax.set_xticks(np.arange(data.shape[0])+0.5, minor=False)\r\nax.set_yticks(np.arange(data.shape[1])+0.5, minor=False)\r\nax.set_xticklabels(np.arange(1, data.shape[0]+1), minor=False)\r\nax.set_yticklabels(np.arange(1, data.shape[1]+1), minor=False)\r\nplt.title(\"Heatmap\")\r\nplt.xlabel(\"X axis\")\r\nplt.ylabel(\"Y axis\")\r\ncbar = plt.colorbar(heatmap)\r\nplt.show()<\/code><\/pre>\n<ul id=\"code_id_3\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<li>14.<\/li>\n<li>15.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p><img data-dominant-color=\"abc1d8\" data-has-transparency=\"false\" style=\"--dominant-color: #abc1d8;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-15681\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/22be3041161cef4e08f57455eaa94d292e32a8-1.png\" width=\"816\" height=\"664\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/22be3041161cef4e08f57455eaa94d292e32a8-1.png 816w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/22be3041161cef4e08f57455eaa94d292e32a8-1-300x244.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/22be3041161cef4e08f57455eaa94d292e32a8-1-768x625.png 768w\" sizes=\"auto, (max-width: 816px) 100vw, 816px\" \/><\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\">\n<p><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_4\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">sns.heatmap(data, cmap=\"Blues\", annot=True)\r\n# Set plot title and axis labels\r\nplt.title(\"Heatmap\")\r\nplt.xlabel(\"X axis\")\r\nplt.ylabel(\"Y axis\")\r\n# Show plot\r\nplt.show()<\/code><\/pre>\n<ul id=\"code_id_4\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p><img data-dominant-color=\"bacfe2\" data-has-transparency=\"false\" style=\"--dominant-color: #bacfe2;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-15682\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/177157836eedc75453d98864a468e60f0189a1-1.png\" width=\"872\" height=\"708\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/177157836eedc75453d98864a468e60f0189a1-1.png 872w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/177157836eedc75453d98864a468e60f0189a1-1-300x244.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/177157836eedc75453d98864a468e60f0189a1-1-768x624.png 768w\" sizes=\"auto, (max-width: 872px) 100vw, 872px\" \/><\/p>\n<h4>3.Hydra<\/h4>\n<p>\u4e3a\u4e86\u9879\u76ee\u7684\u7075\u6d3b\u6027\uff0c\u5f88\u591a\u5185\u5bb9\u90fd\u9700\u8981\u5f62\u6210\u53ef\u914d\u7f6e\u53c2\u6570\u3002\u50cfAnswer\u5de5\u5177\u53ef\u4ee5\u5c06\u53c2\u6570\u503c\u5b58\u653e\u5230.env\u6587\u4ef6\u4e2d\u3002\u4f46\u662f\uff0c\u5982\u679c\u5982\u679c\u53c2\u6570\u6bd4\u8f83\u590d\u6742\uff0c\u9879\u76ee\u53ef\u914d\u7f6e\u53c2\u6570\u5b9e\u73b0\u8d77\u6765\u5c31\u6ca1\u6709\u90a3\u4e48\u7b80\u5355\u4e86\u3002Hydra\u662f\u4e00\u4e2a\u5f00\u6e90\u5de5\u5177\uff0c\u7528\u4e8e\u7ba1\u7406\u548c\u8fd0\u884c\u57fa\u4e8ePython\u7684\u5e94\u7528\u7a0b\u5e8f\u7684\u914d\u7f6e\u53c2\u6570\u3002\u5b83\u57fa\u4e8eOmegaConf\u5e93\uff0c\u80fd\u591f\u521b\u5efa\u5206\u5c42\u914d\u7f6e\uff0c\u5e76\u901a\u8fc7\u914d\u7f6e\u6587\u4ef6\u548c\u547d\u4ee4\u884c\u8986\u76d6\u5b83\uff0c\u5141\u8bb8\u66f4\u6e05\u6670\u5730\u5206\u79bb\u914d\u7f6e\u6587\u4ef6\u3002<\/p>\n<h4>4.coolname<\/h4>\n<p>coolname\u662f\u4e00\u4e2a\u5f00\u6e90\u6807\u793a\u7b26\u751f\u6210\u5e93\u3002\u5982\u679c\u4f60\u4e0d\u559c\u6b22UUID\uff0c\u6216\u8005\u53ea\u662f\u60f3\u8ba9ID\u66f4\u5177\u53ef\u8bfb\u6027\uff0c\u90a3\u4e48coolname\u5c31\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u5de5\u5177\u3002\u5b83\u80fd\u591f\u751f\u6210\u957f\u5ea6\u4ece2\u52304\u4e2a\u5355\u8bcd\u4e0d\u7b49\u7684\u552f\u4e00\u6807\u8bc6\u7b26\u7528\u4e8e\u751f\u6210\u4e00\u4e2a\u60df\u4e00\u7684\u6807\u8bc6\u7b26\u3002\u4e0d\u540c\u7684\u957f\u5ea6\u6709\u4e0d\u540c\u7684\u7ec4\u5408\u7684\u6570\u91cf\uff1a4\u5b57\u957f\u5ea6\u6807\u8bc6\u7b26\u67091010\u4e2a\u7ec4\u5408\uff1b3\u5b57\u957f\u5ea6\u6807\u8bc6\u7b26\u6709108\u79cd\u7ec4\u5408\uff1b2\u5b57\u957f\u5ea6\u6807\u8bc6\u7b26\u6709105\u79cd\u7ec4\u5408\u663e\u7136\u6570\u91cf\u660e\u663e\u4f4e\u4e8eUUID\uff0c\u56e0\u6b64\u51b2\u7a81\u7684\u6982\u7387\u4e5f\u66f4\u9ad8\u3002\u6240\u4ee5\u53ea\u80fd\u7528\u4e8e\u7279\u5b9a\u7684\u573a\u666f\u3002<\/p>\n<h4>5.tqdm<\/h4>\n<p>tqdm\u5e93\u4e3a\u5e94\u7528\u7a0b\u5e8f\u7684\u6267\u884c\u8fc7\u7a0b\u63d0\u4f9b\u4e86\u4e00\u4e2a\u8fdb\u5ea6\u6761\u529f\u80fd\uff0c\u8fd9\u4e2a\u5e93\u53ea\u9700\u8981Python\u5373\u53ef\u72ec\u7acb\u6267\u884c\u3002Tqdm\u8fd8\u80fd\u591f\u9884\u6d4b\u4efb\u52a1\u7684\u5269\u4f59\u65f6\u95f4\uff0c\u5e76\u4e14\u6ca1\u6709\u660e\u663e\u7684\u6027\u80fd\u5f00\u9500\u3002\u53ef\u4ee5\u4e3a\u6267\u884c\u91cd\u8981\u4efb\u52a1\u7684\u8fc7\u7a0b\uff0c\u5b9e\u73b0\u8fdb\u5ea6\u53cd\u9988\u548c\u5269\u4f59\u65f6\u95f4\u9884\u6d4b\u3002<\/p>\n<h4>6.Jupyter Notebook (+JupyterLab)<\/h4>\n<p>Jupyter Notebook\uff08\u6b64\u524d\u88ab\u79f0\u4e3a IPython notebook\uff09\u662f\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7b14\u8bb0\u672c\uff0c\u652f\u6301\u8fd0\u884c 40 \u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\u3002Jupyter Notebook \u7684\u672c\u8d28\u662f\u4e00\u4e2a Web \u5e94\u7528\u7a0b\u5e8f\uff0c\u4fbf\u4e8e\u521b\u5efa\u548c\u5171\u4eab\u7a0b\u5e8f\u6587\u6863\uff0c\u652f\u6301\u5b9e\u65f6\u4ee3\u7801\uff0c\u6570\u5b66\u65b9\u7a0b\uff0c\u53ef\u89c6\u5316\u548c markdown\u3002<\/p>\n<p><img data-dominant-color=\"f8f4f1\" data-has-transparency=\"false\" style=\"--dominant-color: #f8f4f1;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-15683\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/615d35288a0928130f98307a2b1f14fa74c3fe-1.png\" width=\"1080\" height=\"451\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/615d35288a0928130f98307a2b1f14fa74c3fe-1.png 1080w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/615d35288a0928130f98307a2b1f14fa74c3fe-1-300x125.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/615d35288a0928130f98307a2b1f14fa74c3fe-1-1024x428.png 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/615d35288a0928130f98307a2b1f14fa74c3fe-1-768x321.png 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/p>\n<p>\u4ee5\u4e0a\u8fd9\u4e9b\u5185\u5bb9\u90fd\u662f\u6211\u4eec\u5728\u6df1\u5ea6\u5b66\u4e60\u5165\u95e8\u8fc7\u7a0b\u4e2d\u7ecf\u5e38\u4f1a\u7528\u5230\u7684\u57fa\u672c\u5de5\u5177\u3002<\/p>\n<p>\u6587\u7ae0\u6765\u81ea\uff1a51CTO<\/p>\n<\/div>\n<\/div>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_15659\" class=\"pvc_stats total_only  \" 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class=\"pvc_clear\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u672c\u6587\u4e3b\u8981\u5206\u4eab\u4e00\u4e9b\u5e38\u7528\u7684\u4eba\u5de5\u667a\u80fd\u76f8\u5173\u7684\u5185\u5bb9\uff0c\u5305\u62ec\uff1a\u6a21\u578b\u8bad\u7ec3\u3001\u6570\u636e\u5904\u7406\u3001\u53c2\u6570\u4f18\u5316\u3001\u5b9e\u9a8c\u8ddf\u8e2a\u3001\u7279\u5b9a\u9886\u57df\u5e93\u4ee5\u53ca\u4e00\u4e9b\u5de5\u5177 [&hellip;]<\/p>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_15659\" class=\"pvc_stats total_only  \" data-element-id=\"15659\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.0\" viewBox=\"0 0 502 315\" preserveAspectRatio=\"xMidYMid meet\"><g transform=\"translate(0,332) scale(0.1,-0.1)\" fill=\"\" stroke=\"none\"><path d=\"M2394 3279 l-29 -30 -3 -207 c-2 -182 0 -211 15 -242 39 -76 157 -76 196 0 15 31 17 60 15 243 l-3 209 -33 29 c-26 23 -41 29 -80 29 -41 0 -53 -5 -78 -31z\"\/><path d=\"M3085 3251 c-45 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