{"id":67090,"date":"2025-05-04T23:37:00","date_gmt":"2025-05-04T15:37:00","guid":{"rendered":"https:\/\/fwq.ai\/blog\/?p=67090"},"modified":"2025-05-04T23:37:00","modified_gmt":"2025-05-04T15:37:00","slug":"%e4%bd%bf%e7%94%a8dl4j%e6%9e%84%e5%bb%ba%e9%aa%8c%e8%af%81%e7%a0%81%e8%af%86%e5%88%ab%e7%b3%bb%e7%bb%9f%ef%bc%9a%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e5%9c%a8%e5%9b%be%e5%83%8f%e8%af%86%e5%88%ab","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/67090\/","title":{"rendered":"\u4f7f\u7528DL4J\u6784\u5efa\u9a8c\u8bc1\u7801\u8bc6\u522b\u7cfb\u7edf\uff1a\u6df1\u5ea6\u5b66\u4e60\u5728\u56fe\u50cf\u8bc6\u522b\u4e2d\u7684\u9ad8\u6548\u5b9e\u8df5"},"content":{"rendered":"<h2>\u4e00\u3001\u5f00\u53d1\u73af\u5883\u51c6\u5907<\/h2>\n<p>\u8981\u5f00\u59cb\u6784\u5efa\u56fe\u50cf\u8bc6\u522b\u6a21\u578b\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5f00\u53d1\u73af\u5883\u7684\u4f9d\u8d56\u7ec4\u4ef6\u5df2\u7ecf\u5b89\u88c5\uff1a<\/p>\n<ul>\n<li><strong>Java JDK 8<\/strong> \u6216\u66f4\u9ad8\u7248\u672c\uff1b<\/li>\n<li><strong>Apache Maven<\/strong> \u7528\u4e8e\u6784\u5efa\u9879\u76ee\uff1b<\/li>\n<li><strong>DL4J \u53ca ND4J \u4f9d\u8d56<\/strong>\uff0c\u5728 <code>pom.xml<\/code> \u4e2d\u6dfb\u52a0\u5982\u4e0b\u914d\u7f6e\uff1a<\/li>\n<\/ul>\n<pre><code class=\"language-xml\">&lt;dependencies&gt;\r\n    &lt;dependency&gt;\r\n        &lt;groupId&gt;org.deeplearning4j&lt;\/groupId&gt;\r\n        &lt;artifactId&gt;deeplearning4j-core&lt;\/artifactId&gt;\r\n        &lt;version&gt;1.0.0-beta7&lt;\/version&gt;\r\n    &lt;\/dependency&gt;\r\n    &lt;dependency&gt;\r\n        &lt;groupId&gt;org.nd4j&lt;\/groupId&gt;\r\n        &lt;artifactId&gt;nd4j-native-platform&lt;\/artifactId&gt;\r\n        &lt;version&gt;1.0.0-beta7&lt;\/version&gt;\r\n    &lt;\/dependency&gt;\r\n&lt;\/dependencies&gt;\r\n<\/code><\/pre>\n<p>\u501f\u52a9\u5f3a\u5927\u7684\u7f8e\u56fd\u4e91\u670d\u52a1\u5668\u8d44\u6e90\uff0c\u63d0\u4f9b\u7684GPU\u589e\u5f3a\u578bVPS\uff0c\u60a8\u53ef\u4ee5\u663e\u8457\u63d0\u5347\u6a21\u578b\u8bad\u7ec3\u6548\u7387\uff0c\u7f29\u77ed\u9879\u76ee\u5f00\u53d1\u5468\u671f\u3002<\/p>\n<h2>\u4e8c\u3001\u9a8c\u8bc1\u7801\u6570\u636e\u96c6\u51c6\u5907<\/h2>\n<p>\u9a8c\u8bc1\u7801\u8bc6\u522b\u7684\u7b2c\u4e00\u6b65\u662f\u6570\u636e\u83b7\u53d6\u3002\u53ef\u4ee5\u4f7f\u7528 Python \u811a\u672c\u751f\u6210\u56fe\u50cf\u6587\u4ef6\uff08\u5982 <code>A9KD_0.png<\/code>\uff09\uff0c\u6216\u901a\u8fc7 Java \u7684\u56fe\u5f62\u5e93\u8fdb\u884c\u624b\u52a8\u5408\u6210\u3002\u786e\u4fdd\u6bcf\u5f20\u9a8c\u8bc1\u7801\u56fe\u7247\u5bf9\u5e94\u4e00\u4e2a\u6807\u7b7e\uff08\u5373\u56fe\u50cf\u4e0a\u7684\u5b57\u7b26\u7ec4\u5408\uff09\uff0c\u5982 <code>\"A9KD\"<\/code>\u3002<\/p>\n<h2>\u4e09\u3001\u56fe\u50cf\u52a0\u8f7d\u4e0e\u9884\u5904\u7406<\/h2>\n<p>\u4f7f\u7528 DL4J \u63d0\u4f9b\u7684 <code>NativeImageLoader<\/code> \u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u56fe\u50cf\u6587\u4ef6\u8f6c\u4e3a\u795e\u7ecf\u7f51\u7edc\u6240\u9700\u7684\u5f20\u91cf\u683c\u5f0f\uff0c\u540c\u65f6\u4f7f\u7528\u6807\u51c6\u5316\u5668\u8fdb\u884c\u5f52\u4e00\u5316\u5904\u7406\uff1a<\/p>\n<pre><code class=\"language-java\">NativeImageLoader loader = new NativeImageLoader(60, 160, 3);\r\nDataNormalization scaler = new ImagePreProcessingScaler(0, 1);\r\n\r\nINDArray loadImage(File imageFile) throws IOException {\r\n    INDArray image = loader.asMatrix(imageFile);\r\n    scaler.transform(image);\r\n    return image;\r\n}\r\n<\/code><\/pre>\n<h2>\u56db\u3001\u6807\u7b7e\u7f16\u7801\u4e0e\u89e3\u7801<\/h2>\n<p>\u4e3a\u5c06\u5b57\u7b26\u6807\u7b7e\u8f6c\u4e3a\u53ef\u7528\u4e8e\u8bad\u7ec3\u7684\u5411\u91cf\uff0c\u9700\u8981\u5b9a\u4e49\u5b57\u7b26\u96c6\u5e76\u6620\u5c04\u4e3a\u6574\u6570\u7d22\u5f15\uff1a<\/p>\n<pre><code class=\"language-java\">String characters = \"0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ\";\r\n\r\nint[] labelToIndices(String label) {\r\n    int[] indices = new int[label.length()];\r\n    for (int i = 0; i &lt; label.length(); i++) {\r\n        indices[i] = characters.indexOf(label.charAt(i));\r\n    }\r\n    return indices;\r\n}\r\n<\/code><\/pre>\n<h2>\u4e94\u3001\u6784\u5efa\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09<\/h2>\n<p>\u4e0b\u9762\u7684\u4ee3\u7801\u5c55\u793a\u4e86\u4e00\u4e2a\u7528\u4e8e\u9a8c\u8bc1\u7801\u8bc6\u522b\u7684\u57fa\u7840 CNN \u6a21\u578b\u7ed3\u6784\uff1a<\/p>\n<pre><code class=\"language-java\">MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder()\r\n    .updater(new Adam(0.001))\r\n    .list()\r\n    .layer(new ConvolutionLayer.Builder(5, 5).nIn(3).nOut(32).stride(1, 1).activation(Activation.RELU).build())\r\n    .layer(new SubsamplingLayer.Builder(SubsamplingLayer.PoolingType.MAX).kernelSize(2, 2).stride(2, 2).build())\r\n    .layer(new ConvolutionLayer.Builder(3, 3).nOut(64).stride(1, 1).activation(Activation.RELU).build())\r\n    .layer(new DenseLayer.Builder().nOut(256).activation(Activation.RELU).build())\r\n    .layer(new OutputLayer.Builder(LossFunctions.LossFunction.MCXENT)\r\n        .nOut(4 * 36).activation(Activation.SOFTMAX).build())\r\n    .setInputType(InputType.convolutional(60, 160, 3))\r\n    .build();\r\n\r\nMultiLayerNetwork model = new MultiLayerNetwork(conf);\r\nmodel.init();\r\n<\/code><\/pre>\n<p>\u6b64\u6a21\u578b\u652f\u63014\u4f4d\u5b57\u7b26\u9a8c\u8bc1\u7801\u8bc6\u522b\uff0c\u5b57\u7b26\u96c6\u4e3a36\u79cd\uff080-9A-Z\uff09\u3002<\/p>\n<h2>\u516d\u3001\u6a21\u578b\u8bad\u7ec3<\/h2>\n<p>\u8bad\u7ec3\u8fc7\u7a0b\u9700\u8981\u5c06\u56fe\u50cf\u4e0e\u6807\u7b7e\u6570\u636e\u6253\u5305\u4e3a <code>DataSetIterator<\/code>\uff0c\u53ef\u4f7f\u7528 <code>RecordReaderDataSetIterator<\/code> \u6216\u81ea\u5b9a\u4e49\u52a0\u8f7d\u5668\uff1a<\/p>\n<pre><code class=\"language-java\">model.fit(trainIterator, 10); \/\/ \u8bad\u7ec310\u4e2a\u5468\u671f\r\n<\/code><\/pre>\n<p>\u5728\u4e91\u670d\u52a1\u5668\u4e0a\u8fdb\u884c\u8bad\u7ec3\u80fd\u591f\u5927\u5e45\u8282\u7701\u672c\u5730\u8d44\u6e90\uff0c\u63a8\u8350\u4f7f\u7528<strong>\u7f8e\u56fd\u670d\u52a1\u5668<\/strong>\u90e8\u7f72\u8bad\u7ec3\u73af\u5883\uff0c\u9002\u914d\u5927\u89c4\u6a21\u56fe\u50cf\u6570\u636e\u52a0\u8f7d\u4e0e\u5e76\u884c\u8ba1\u7b97\u9700\u6c42\u3002<\/p>\n<h2>\u4e03\u3001\u6a21\u578b\u6d4b\u8bd5\u4e0e\u9884\u6d4b<\/h2>\n<p>\u6700\u7ec8\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u52a0\u8f7d\u56fe\u50cf\u5e76\u8fdb\u884c\u9884\u6d4b\uff1a<\/p>\n<pre><code class=\"language-java\">File testImage = new File(\"captcha_samples\/A9KD_0.png\");\r\nINDArray image = loader.loadImage(testImage);\r\nINDArray output = model.output(image);\r\n\r\nint[] prediction = ... \/\/ \u89e3\u7801\u6700\u5927\u6982\u7387\u7d22\u5f15\r\nString result = decodeIndices(prediction);\r\nSystem.out.println(\"\u9884\u6d4b\u7ed3\u679c: \" + result);\r\n<\/code><\/pre>\n<h2>\u7ed3\u8bed<\/h2>\n<p>\u672c\u6587\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528 DL4J \u6846\u67b6\u5b9e\u73b0\u9a8c\u8bc1\u7801\u8bc6\u522b\u7cfb\u7edf\uff0c\u4ece\u73af\u5883\u51c6\u5907\u5230\u6a21\u578b\u90e8\u7f72\uff0c\u5c55\u793a\u4e86\u6df1\u5ea6\u5b66\u4e60\u5728\u56fe\u50cf\u8bc6\u522b\u9886\u57df\u7684\u5b9e\u9645\u5e94\u7528\u80fd\u529b\u3002\u5982\u679c\u60a8\u6b63\u5728\u5bfb\u6c42\u7a33\u5b9a\u3001\u9ad8\u6027\u80fd\u7684\u90e8\u7f72\u5e73\u53f0\uff0c<strong>\u63a8\u8350\u9009\u62e9<a href=\"https:\/\/fwq.ai\/\">\u7f8e\u56fdVPS<\/a>\u6216<a href=\"https:\/\/fwq.ai\/\">\u7f8e\u56fd\u4e91\u670d\u52a1\u5668<\/a><\/strong>\uff0c\u65e0\u8bba\u662f\u90e8\u7f72AI\u6a21\u578b\u3001\u6570\u636e\u670d\u52a1\u8fd8\u662f\u540e\u53f0API\u63a5\u53e3\uff0c\u9009\u62e9\u9002\u5408\u60a8\u9879\u76ee\u7684\u670d\u52a1\u5668\u89e3\u51b3\u65b9\u6848\uff0c\u52a9\u529b\u60a8\u7684AI\u9879\u76ee\u987a\u5229\u843d\u5730\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e00\u3001\u5f00\u53d1\u73af\u5883\u51c6\u5907 \u8981\u5f00\u59cb\u6784\u5efa\u56fe\u50cf\u8bc6\u522b\u6a21\u578b\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5f00\u53d1\u73af\u5883\u7684\u4f9d\u8d56\u7ec4\u4ef6\u5df2\u7ecf\u5b89\u88c5\uff1a Java JDK 8 \u6216\u66f4\u9ad8\u7248\u672c\uff1b Apache Maven \u7528\u4e8e\u6784\u5efa\u9879\u76ee\uff1b DL4J \u53ca ND4J \u4f9d\u8d56\uff0c\u5728 pom.xml \u4e2d\u6dfb\u52a0\u5982\u4e0b\u914d\u7f6e\uff1a &lt;dependencies&gt; &lt;dependency&gt; &lt;groupId&gt;org.deeplearning4j&lt;\/groupId&gt; &lt;artifactId&gt;deeplearning4j-core&lt;\/artifactId&gt; &lt;version&gt;1.0.0-beta7&lt;\/version&gt; &lt;\/dependency&gt; &lt;dependency&gt; &lt;groupId&gt;org.nd4j&lt;\/groupId&gt; &lt;artifactId&gt;nd4j-native-platform&lt;\/artifactId&gt; &lt;version&gt;1.0.0-beta7&lt;\/version&gt; &lt;\/dependency&gt; &lt;\/dependencies&gt; \u501f\u52a9\u5f3a\u5927\u7684\u7f8e\u56fd\u4e91\u670d\u52a1\u5668\u8d44\u6e90\uff0c\u63d0\u4f9b\u7684GPU\u589e\u5f3a\u578bVPS\uff0c\u60a8\u53ef\u4ee5\u663e\u8457\u63d0\u5347\u6a21\u578b\u8bad\u7ec3\u6548\u7387\uff0c\u7f29\u77ed\u9879\u76ee\u5f00\u53d1\u5468\u671f\u3002 \u4e8c\u3001\u9a8c\u8bc1\u7801\u6570\u636e\u96c6\u51c6\u5907 \u9a8c\u8bc1\u7801\u8bc6\u522b\u7684\u7b2c\u4e00\u6b65\u662f\u6570\u636e\u83b7\u53d6\u3002\u53ef\u4ee5\u4f7f\u7528 Python \u811a\u672c\u751f\u6210\u56fe\u50cf\u6587\u4ef6\uff08\u5982 A9KD_0.png\uff09\uff0c\u6216\u901a\u8fc7 Java \u7684\u56fe\u5f62\u5e93\u8fdb\u884c\u624b\u52a8\u5408\u6210\u3002\u786e\u4fdd\u6bcf\u5f20\u9a8c\u8bc1\u7801\u56fe\u7247\u5bf9\u5e94\u4e00\u4e2a\u6807\u7b7e\uff08\u5373\u56fe\u50cf\u4e0a\u7684\u5b57\u7b26\u7ec4\u5408\uff09\uff0c\u5982 &#8220;A9KD&#8221;\u3002 \u4e09\u3001\u56fe\u50cf\u52a0\u8f7d\u4e0e\u9884\u5904\u7406 \u4f7f\u7528 DL4J \u63d0\u4f9b\u7684 NativeImageLoader \u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u56fe\u50cf\u6587\u4ef6\u8f6c\u4e3a\u795e\u7ecf\u7f51\u7edc\u6240\u9700\u7684\u5f20\u91cf\u683c\u5f0f\uff0c\u540c\u65f6\u4f7f\u7528\u6807\u51c6\u5316\u5668\u8fdb\u884c\u5f52\u4e00\u5316\u5904\u7406\uff1a NativeImageLoader loader = new NativeImageLoader(60, 160, 3); DataNormalization scaler = new ImagePreProcessingScaler(0, 1); [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-67090","post","type-post","status-publish","format-standard","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/67090","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=67090"}],"version-history":[{"count":1,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/67090\/revisions"}],"predecessor-version":[{"id":67092,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/67090\/revisions\/67092"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=67090"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=67090"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=67090"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}