{"id":10235,"date":"2025-04-18T17:54:23","date_gmt":"2025-04-18T09:54:23","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/10235.html"},"modified":"2025-04-18T17:54:23","modified_gmt":"2025-04-18T09:54:23","slug":"%e6%98%87%e6%80%9d25%e5%a4%a9%e5%ad%a6%e4%b9%a0%e6%89%93%e5%8d%a1%e8%90%a5%e7%ac%ac1%e5%a4%a9%e5%bf%ab%e9%80%9f%e5%85%a5%e9%97%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/10235.html","title":{"rendered":"\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8"},"content":{"rendered":"

\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8<\/h2>\n

\u76ee\u5f55<\/p>\n

\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8\u5b9e\u64cd\u6559\u7a0b<\/p>\n

\u4e00\u3001MindSpore\u5185\u5bb9\u7b80\u4ecb<\/p>\n

\u4e3b\u8981\u7279\u70b9：<\/p>\n

MindSpore\u7684\u7ec4\u6210\u90e8\u5206：<\/p>\n

\u4e8c\u3001\u5165\u95e8\u5b9e\u64cd\u6b65\u9aa4<\/p>\n

1. \u5b89\u88c5\u5fc5\u8981\u7684\u4f9d\u8d56\u5305<\/p>\n

2. \u4e0b\u8f7d\u5e76\u5904\u7406\u6570\u636e\u96c6<\/p>\n

3. \u6784\u5efa\u7f51\u7edc\u6a21\u578b<\/p>\n

4. \u8bad\u7ec3\u6a21\u578b<\/p>\n

5. \u6d4b\u8bd5\u6a21\u578b\u6027\u80fd<\/p>\n

6. \u8fdb\u884c\u591a\u8f6e\u8bad\u7ec3<\/p>\n

7. \u793a\u4f8b\u8f93\u51fa<\/p>\n

\u603b\u7ed3<\/p>\n

\u00a0\u535a\u4e3bv：XiaoMing_Java<\/p>\n

\u535a\u4e3bv：XiaoMing_Java<\/p>\n

\n<\/p>\n

\u4e00\u3001MindSpore\u5185\u5bb9\u7b80\u4ecb<\/h3>\n

\u672c\u6587\u4e3b\u8981\u662f\u501f\u52a9\u6607\u601d\u5927\u6a21\u578b\u5e73\u53f0\u7684Jupyter\u4e91\u4e0a\u5f00\u53d1\u5b66\u4e60\u6607\u601dMindSpore\u5165\u95e8\u77e5\u8bc6<\/p>\n

\u6607\u601dMindSpore\u662f\u4e00\u4e2a\u5168\u573a\u666f\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6，\u65e8\u5728\u5b9e\u73b0\u6613\u5f00\u53d1\u3001\u9ad8\u6548\u6267\u884c\u3001\u5168\u573a\u666f\u7edf\u4e00\u90e8\u7f72\u4e09\u5927\u76ee\u6807\u3002<\/p>\n

\u8bbe\u8ba1\u76ee\u6807\u662f\u4f7f\u5f97\u6df1\u5ea6\u5b66\u4e60\u7684\u5f00\u53d1\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u9ad8\u6548，\u5e76\u63d0\u4f9b\u7edf\u4e00\u7684\u90e8\u7f72\u65b9\u6848\u3002\u5b83\u80fd\u591f\u652f\u6301\u591a\u79cd\u8fd0\u884c\u73af\u5883，\u5305\u62ec\u4e91\u7aef\u3001\u8fb9\u7f18\u548c\u7ec8\u7aef\u8bbe\u5907\u3002<\/p>\n

\u4e3b\u8981\u7279\u70b9：<\/h4>\n
  • \u6613\u5f00\u53d1：MindSpore \u63d0\u4f9b\u4e86\u53cb\u597d\u7684API\u63a5\u53e3，\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u5feb\u901f\u4e0a\u624b，\u540c\u65f6\u8c03\u8bd5\u8fc7\u7a0b\u4e5f\u53d8\u5f97\u66f4\u52a0\u76f4\u89c2\u3002<\/li>\n
  • \u9ad8\u6548\u6267\u884c：\u6846\u67b6\u5728\u8ba1\u7b97\u6548\u7387\u3001\u6570\u636e\u9884\u5904\u7406\u548c\u5206\u5e03\u5f0f\u8bad\u7ec3\u65b9\u9762\u8fdb\u884c\u4e86\u4f18\u5316，\u53ef\u4ee5\u5145\u5206\u5229\u7528\u786c\u4ef6\u8d44\u6e90\u3002<\/li>\n
  • \u5168\u573a\u666f\u652f\u6301：\u65e0\u8bba\u662f\u5728\u4e91\u7aef\u8fd8\u662f\u8fb9\u7f18\u8bbe\u5907，\u751a\u81f3\u662f\u5c0f\u578bIoT\u8bbe\u5907，MindSpore\u90fd\u80fd\u63d0\u4f9b\u826f\u597d\u7684\u652f\u6301\u3002<\/li>\n

    MindSpore\u7684\u7ec4\u6210\u90e8\u5206：<\/h4>\n
      \n
    • ModelZoo（\u6a21\u578b\u5e93）：\u63d0\u4f9b\u4e30\u5bcc\u7684\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u6a21\u578b，\u5f00\u53d1\u8005\u4e5f\u53ef\u4ee5\u8d21\u732e\u81ea\u5df1\u7684\u6a21\u578b\u3002<\/li>\n
    • MindSpore Extend（\u6269\u5c55\u5e93）：\u652f\u6301\u9886\u57df\u6269\u5c55，\u5982\u56fe\u795e\u7ecf\u7f51\u7edc（GNN）\u3001\u6df1\u5ea6\u6982\u7387\u7f16\u7a0b\u7b49\u3002<\/li>\n
    • MindSpore Science（\u79d1\u5b66\u8ba1\u7b97）：\u4e13\u4e3a\u79d1\u5b66\u8ba1\u7b97\u8bbe\u8ba1，\u5305\u542b\u9886\u5148\u7684\u6570\u636e\u96c6\u548c\u9ad8\u7cbe\u5ea6\u6a21\u578b\u3002<\/li>\n
    • MindExpression（\u5168\u573a\u666f\u7edf\u4e00API）：\u652f\u6301Python\u524d\u7aef\u8868\u8fbe\u4e0e\u7f16\u7a0b\u63a5\u53e3，\u7b80\u5316\u5f00\u53d1\u6d41\u7a0b\u3002<\/li>\n
    • MindSpore Data（\u6570\u636e\u5904\u7406\u5c42）：\u63d0\u4f9b\u9ad8\u6548\u7684\u6570\u636e\u5904\u7406\u548c\u5e38\u7528\u6570\u636e\u96c6\u52a0\u8f7d\u529f\u80fd\u3002<\/li>\n
    • MindCompiler（AI\u7f16\u8bd1\u5668）：\u4f18\u5316\u8ba1\u7b97\u56fe，\u652f\u6301\u5404\u79cd\u786c\u4ef6\u52a0\u901f\u3002<\/li>\n
    • MindRT（\u8fd0\u884c\u65f6\u7cfb\u7edf）：\u5b9e\u73b0\u9ad8\u6548\u7684\u8fd0\u884c\u65f6\u652f\u6301，\u9002\u7528\u4e8e\u4e0d\u540c\u573a\u666f\u3002<\/li>\n
    • MindSpore Insight（\u53ef\u89c6\u5316\u8c03\u8bd5\u5de5\u5177）：\u63d0\u4f9b\u53ef\u89c6\u5316\u8bad\u7ec3\u76d1\u63a7\u548c\u8c03\u4f18\u80fd\u529b\u3002<\/li>\n
    • MindSpore Armour（\u5b89\u5168\u589e\u5f3a\u5e93）：\u9488\u5bf9\u4f01\u4e1a\u7ea7\u5e94\u7528\u63d0\u4f9b\u5b89\u5168\u4e0e\u9690\u79c1\u4fdd\u62a4\u529f\u80fd\u3002<\/li>\n<\/ul>\n

      \"\"<\/p>\n

      \u4e8c\u3001\u5165\u95e8\u5b9e\u64cd\u6b65\u9aa4<\/h3>\n

      \u63a5\u4e0b\u6765，\u6211\u4eec\u5c06\u901a\u8fc7MindSpore\u7684API\u6765\u5feb\u901f\u6784\u5efa\u548c\u8bad\u7ec3\u4e00\u4e2a\u7b80\u5355\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n

      \"\"<\/p>\n

      1. \u5b89\u88c5\u5fc5\u8981\u7684\u4f9d\u8d56\u5305<\/h4>\n

      \u9996\u5148，\u5728\u8fdb\u884c\u4efb\u4f55\u5f00\u53d1\u4e4b\u524d，\u60a8\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86MindSpore\u53ca\u5176\u76f8\u5173\u4f9d\u8d56\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5：<\/p>\n

      pip install mindspore<\/p>\n

      \u7136\u540e\u6211\u4eec\u5bfc\u5165\u6240\u9700\u7684\u5e93：<\/p>\n

      import mindspore
      \nfrom mindspore import nn
      \nfrom mindspore.dataset import vision, transforms
      \nfrom mindspore.dataset import MnistDataset<\/p>\n

      2. \u4e0b\u8f7d\u5e76\u5904\u7406\u6570\u636e\u96c6<\/h4>\n

      \u5728\u6211\u4eec\u7684\u793a\u4f8b\u4e2d，\u6211\u4eec\u5c06\u4f7f\u7528MNIST\u6570\u636e\u96c6，\u8fd9\u662f\u4e00\u4e2a\u7ecf\u5178\u7684\u624b\u5199\u6570\u5b57\u8bc6\u522b\u6570\u636e\u96c6\u3002\u4e0b\u9762\u662f\u4e0b\u8f7d\u8be5\u6570\u636e\u96c6\u7684\u4ee3\u7801：<\/p>\n

      # \u5bfc\u5165\u4e0b\u8f7d\u5de5\u5177
      \nfrom download import download<\/p>\n

      # \u5b9a\u4e49\u6570\u636e\u96c6\u7684URL
      \nurl = "https:\/\/mindspore-website.obs.cn-north-4.myhuaweicloud.com\/notebook\/datasets\/MNIST_Data.zip"
      \n# \u4e0b\u8f7d\u6570\u636e\u96c6\u5e76\u89e3\u538b
      \npath = download(url, ".\/", kind="zip", replace=True)<\/p>\n

      3. \u6784\u5efa\u7f51\u7edc\u6a21\u578b<\/h4>\n

      \u63a5\u4e0b\u6765，\u6211\u4eec\u5b9a\u4e49\u4e00\u4e2a\u7b80\u5355\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b，\u8be5\u6a21\u578b\u7531\u591a\u4e2a\u5168\u8fde\u63a5\u5c42\u548cReLU\u6fc0\u6d3b\u51fd\u6570\u7ec4\u6210：<\/p>\n

      # \u5b9a\u4e49\u6a21\u578b\u7ed3\u6784
      \nclass Network(nn.Cell):
      \n def __init__(self):
      \n super().__init__()
      \n self.flatten = nn.Flatten() # \u6241\u5e73\u5316\u5c42
      \n self.dense_relu_sequential = nn.SequentialCell(
      \n nn.Dense(28*28, 512), # \u8f93\u5165\u5c42\u5230\u9690\u85cf\u5c42
      \n nn.ReLU(), # \u6fc0\u6d3b\u51fd\u6570
      \n nn.Dense(512, 512), # \u9690\u85cf\u5c42\u5230\u9690\u85cf\u5c42
      \n nn.ReLU(),
      \n nn.Dense(512, 10) # \u9690\u85cf\u5c42\u5230\u8f93\u51fa\u5c42
      \n )<\/p>\n

      def construct(self, x):
      \n x = self.flatten(x) # \u6241\u5e73\u5316\u8f93\u5165\u6570\u636e
      \n logits = self.dense_relu_sequential(x) # \u524d\u5411\u4f20\u64ad
      \n return logits<\/p>\n

      model = Network()
      \nprint(model) # \u6253\u5370\u6a21\u578b\u7ed3\u6784<\/p>\n

      \"\"\u00a0<\/p>\n

      4. \u8bad\u7ec3\u6a21\u578b<\/h4>\n

      \u63a5\u4e0b\u6765，\u6211\u4eec\u9700\u8981\u5b9a\u4e49\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668，\u7136\u540e\u7f16\u5199\u8bad\u7ec3\u6b65\u9aa4：<\/p>\n

      # \u5b9e\u4f8b\u5316\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u5668
      \nloss_fn = nn.CrossEntropyLoss() # \u4f7f\u7528\u4ea4\u53c9\u71b5\u635f\u5931
      \noptimizer = nn.SGD(model.trainable_params(), learning_rate=1e-2) # Stochastic Gradient Descent<\/p>\n

      # \u5b9a\u4e49\u524d\u5411\u4f20\u64ad\u51fd\u6570
      \ndef forward_fn(data, label):
      \n logits = model(data) # \u6a21\u578b\u9884\u6d4b
      \n loss = loss_fn(logits, label) # \u8ba1\u7b97\u635f\u5931
      \n return loss, logits<\/p>\n

      # \u83b7\u53d6\u68af\u5ea6\u51fd\u6570
      \ngrad_fn = mindspore.value_and_grad(forward_fn, None, optimizer.parameters, has_aux=True)<\/p>\n

      # \u5b9a\u4e49\u5355\u6b65\u8bad\u7ec3\u51fd\u6570
      \ndef train_step(data, label):
      \n (loss, _), grads = grad_fn(data, label) # \u8ba1\u7b97\u635f\u5931\u548c\u68af\u5ea6
      \n optimizer(grads) # \u66f4\u65b0\u53c2\u6570
      \n return loss<\/p>\n

      def train(model, dataset):
      \n size = dataset.get_dataset_size() # \u6570\u636e\u96c6\u5927\u5c0f
      \n model.set_train() # \u8bbe\u7f6e\u6a21\u578b\u4e3a\u8bad\u7ec3\u6a21\u5f0f
      \n for batch, (data, label) in enumerate(dataset.create_tuple_iterator()):
      \n loss = train_step(data, label) # \u5355\u6b65\u8bad\u7ec3<\/p>\n

      if batch % 100 == 0:
      \n loss, current = loss.asnumpy(), batch # \u8f6c\u6362\u4e3anumpy\u683c\u5f0f
      \n print(f"loss: {loss:>7f} [{current:>3d}\/{size:>3d}]")<\/p>\n

      5. \u6d4b\u8bd5\u6a21\u578b\u6027\u80fd<\/h4>\n

      \u7f16\u5199\u6d4b\u8bd5\u51fd\u6570\u4ee5\u8bc4\u4f30\u6a21\u578b\u5728\u6d4b\u8bd5\u96c6\u4e0a\u7684\u8868\u73b0：<\/p>\n

      def test(model, dataset, loss_fn):
      \n num_batches = dataset.get_dataset_size() # \u6d4b\u8bd5\u96c6\u5927\u5c0f
      \n model.set_train(False) # \u8bbe\u7f6e\u6a21\u578b\u4e3a\u8bc4\u4f30\u6a21\u5f0f
      \n total, test_loss, correct = 0, 0, 0
      \n for data, label in dataset.create_tuple_iterator():
      \n pred = model(data) # \u6a21\u578b\u9884\u6d4b
      \n total += len(data) # \u7d2f\u8ba1\u6837\u672c\u6570
      \n test_loss += loss_fn(pred, label).asnumpy() # \u8ba1\u7b97\u603b\u635f\u5931
      \n correct += (pred.argmax(1) == label).asnumpy().sum() # \u8ba1\u7b97\u6b63\u786e\u9884\u6d4b\u6570
      \n test_loss \/= num_batches # \u5e73\u5747\u635f\u5931
      \n correct \/= total # \u6b63\u786e\u7387
      \n print(f"Test: \\\\n Accuracy: {(100*correct):>0.1f}%, Avg loss: {test_loss:>8f} \\\\n")<\/p>\n

      6. \u8fdb\u884c\u591a\u8f6e\u8bad\u7ec3<\/h4>\n

      \u8bad\u7ec3\u8fc7\u7a0b\u9700\u8981\u591a\u6b21\u8fed\u4ee3\u6570\u636e\u96c6，\u4e00\u6b21\u5b8c\u6574\u7684\u8fed\u4ee3\u79f0\u4e3a\u4e00\u8f6e（epoch）\u3002\u53ef\u4ee5\u4f7f\u7528\u5982\u4e0b\u4ee3\u7801\u8fdb\u884c\u8bad\u7ec3\u548c\u6d4b\u8bd5：<\/p>\n

      epochs = 3 # \u8bbe\u7f6e\u8bad\u7ec3\u8f6e\u6570
      \nfor t in range(epochs):
      \n print(f"Epoch {t+1}\\\\n——————————-")
      \n train(model, train_dataset) # \u8bad\u7ec3
      \n test(model, test_dataset, loss_fn) # \u6d4b\u8bd5\u7ed3\u679c
      \nprint("Done!")<\/p>\n

      \"\"\u00a0<\/p>\n

      7. \u793a\u4f8b\u8f93\u51fa<\/h4>\n

      \u5728\u6bcf\u4e00\u8f6e\u8bad\u7ec3\u540e，\u60a8\u5c06\u4f1a\u770b\u5230\u5982\u4e0b\u8f93\u51fa：<\/p>\n

      \"\"\u00a0<\/p>\n

      \"\"<\/p>\n<\/p>\n

      \u603b\u7ed3<\/h3>\n

      \u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4，\u6211\u4eec\u6210\u529f\u5730\u4f7f\u7528MindSpore\u6784\u5efa\u5e76\u8bad\u7ec3\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b，\u5e76\u9a8c\u8bc1\u4e86\u6a21\u578b\u7684\u6027\u80fd\u3002\u8fd9\u4e00\u8fc7\u7a0b\u5c55\u793a\u4e86MindSpore\u7684\u6613\u7528\u6027\u548c\u5f3a\u5927\u529f\u80fd，\u975e\u5e38\u9002\u5408\u65b0\u624b\u5165\u95e8\u5b66\u4e60\u3002<\/p>\n

      \u5728\u5b9e\u9645\u64cd\u4f5c\u4e2d，\u60a8\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8c03\u6574\u6a21\u578b\u7684\u7ed3\u6784\u3001\u8d85\u53c2\u6570\u4ee5\u53ca\u6570\u636e\u96c6，\u4ee5\u63a2\u7d22\u66f4\u591a\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u7684\u53ef\u80fd\u6027\u3002\u5e0c\u671b\u672c\u6559\u7a0b\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9！<\/p>\n

      \u00a0\u535a\u4e3bv：XiaoMing_Java<\/h2>\n

      \"\"<\/p>\n

      \u535a\u4e3bv：XiaoMing_Java<\/h2>\n

      \u00a0📫\u4f5c\u8005\u7b80\u4ecb：\u55e8，\u5927\u5bb6\u597d，\u6211\u662f\u00a0\u5c0f\u00a0\u660e（\u5c0f\u660ejava\u95ee\u9053\u4e4b\u8def），\u4e92\u8054\u7f51\u5927\u5382\u540e\u7aef\u7814\u53d1\u4e13\u5bb6，2022\u535a\u5ba2\u4e4b\u661fTOP3 \/ \u535a\u5ba2\u4e13\u5bb6 \/ CSDN\u540e\u7aef\u5185\u5bb9\u5408\u4f19\u4eba\u3001InfoQ(\u6781\u5ba2\u65f6\u95f4)\u7b7e\u7ea6\u4f5c\u8005\u3001\u963f\u91cc\u4e91\u7b7e\u7ea6\u535a\u4e3b\u3001\u5168\u7f515\u4e07\u7c89\u4e1d\u535a\u4e3b\u3002<\/p>\n

      \n

      🍅 \u6587\u672b\u83b7\u53d6\u8054\u7cfb 🍅\u00a0\u00a0👇🏻 \u7cbe\u5f69\u4e13\u680f\u63a8\u8350\u8ba2\u9605\u6536\u85cf 👇🏻<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
      \n

      \u4e13\u680f\u7cfb\u5217（\u70b9\u51fb\u89e3\u9501）<\/p>\n<\/td>\n

      		\n

      \u5b66\u4e60\u8def\u7ebf（\u70b9\u51fb\u89e3\u9501）<\/p>\n<\/td>\n

      		\n

      \u77e5\u8bc6\u5b9a\u4f4d<\/p>\n<\/td>\n<\/tr>\n

      \n

      🔥Redis\u4ece\u5165\u95e8\u5230\u7cbe\u901a\u4e0e\u5b9e\u6218🔥<\/p>\n<\/td>\n

      		\n

      Redis\u4ece\u5165\u95e8\u5230\u7cbe\u901a\u4e0e\u5b9e\u6218<\/p>\n<\/td>\n

      		\n

      \u56f4\u7ed5\u539f\u7406\u6e90\u7801\u8bb2\u89e3Redis\u9762\u8bd5\u77e5\u8bc6\u70b9\u4e0e\u5b9e\u6218<\/p>\n<\/td>\n<\/tr>\n

      \n

      🔥MySQL\u4ece\u5165\u95e8\u5230\u7cbe\u901a🔥<\/p>\n<\/td>\n

      		\n

      MySQL\u4ece\u5165\u95e8\u5230\u7cbe\u901a<\/p>\n<\/td>\n

      		\u5168\u9762\u8bb2\u89e3MySQL\u77e5\u8bc6\u4e0e\u4f01\u4e1a\u7ea7MySQL\u5b9e\u6218<\/td>\n<\/tr>\n
      \n

      🔥\u8ba1\u7b97\u673a\u5e95\u5c42\u539f\u7406🔥<\/p>\n<\/td>\n

      		\n

      \u6df1\u5165\u7406\u89e3\u8ba1\u7b97\u673a\u7cfb\u7edfCSAPP<\/p>\n<\/td>\n

      		\n

      \u4ee5\u6df1\u5165\u7406\u89e3\u8ba1\u7b97\u673a\u7cfb\u7edf\u4e3a\u57fa\u77f3，\u6784\u4ef6\u8ba1\u7b97\u673a\u4f53\u7cfb\u548c\u8ba1\u7b97\u673a\u601d\u7ef4<\/p>\n<\/td>\n<\/tr>\n

      \n

      Linux\u5185\u6838\u6e90\u7801\u89e3\u6790<\/p>\n<\/td>\n

      		\n

      \u56f4\u7ed5Linux\u5185\u6838\u8bb2\u89e3\u8ba1\u7b97\u673a\u5e95\u5c42\u539f\u7406\u4e0e\u5e76\u53d1<\/p>\n<\/td>\n<\/tr>\n

      \n

      🔥\u6570\u636e\u7ed3\u6784\u4e0e\u4f01\u4e1a\u9898\u5e93\u7cbe\u8bb2🔥<\/p>\n<\/td>\n

      		\n

      \u6570\u636e\u7ed3\u6784\u4e0e\u4f01\u4e1a\u9898\u5e93\u7cbe\u8bb2<\/p>\n<\/td>\n

      		\n

      \u7ed3\u5408\u5de5\u4f5c\u7ecf\u9a8c\u6df1\u5165\u6d45\u51fa，\u9002\u5408\u5404\u5c42\u6b21，\u7b14\u8bd5\u9762\u8bd5\u7b97\u6cd5\u9898\u7cbe\u8bb2<\/p>\n<\/td>\n<\/tr>\n

      \n

      🔥\u4e92\u8054\u7f51\u67b6\u6784\u5206\u6790\u4e0e\u5b9e\u6218🔥<\/p>\n<\/td>\n

      		\n

      \u4f01\u4e1a\u7cfb\u7edf\u67b6\u6784\u5206\u6790\u5b9e\u8df5\u4e0e\u843d\u5730<\/p>\n<\/td>\n

      		\n

      \u884c\u4e1a\u6700\u524d\u6cbf\u89c6\u89d2，\u4e13\u6ce8\u4e8e\u6280\u672f\u67b6\u6784\u5347\u7ea7\u8def\u7ebf\u3001\u67b6\u6784\u5b9e\u8df5<\/p>\n<\/td>\n<\/tr>\n

      \n

      \u4e92\u8054\u7f51\u4f01\u4e1a\u9632\u8d44\u635f\u5b9e\u8df5<\/p>\n<\/td>\n

      		\n

      \u4e92\u8054\u7f51\u91d1\u878d\u516c\u53f8\u7684\u9632\u8d44\u635f\u65b9\u6cd5\u8bba\u3001\u4ee3\u7801\u4e0e\u5b9e\u8df5<\/p>\n<\/td>\n<\/tr>\n

      \n

      🔥Java\u5168\u6808\u767d\u5b9d\u4e66🔥<\/p>\n<\/td>\n

      		\n

      \u7cbe\u901aJava8\u4e0e\u51fd\u6570\u5f0f\u7f16\u7a0b<\/p>\n<\/td>\n

      		\n

      \u672c\u4e13\u680f\u4ee5\u5b9e\u6218\u4e3a\u57fa\u7840，\u9010\u6b65\u6df1\u5165Java8\u4ee5\u53ca\u672a\u6765\u7684\u7f16\u7a0b\u6a21\u5f0f<\/p>\n<\/td>\n<\/tr>\n

      <\/td>\n\n

      \u6df1\u5165\u7406\u89e3JVM<\/p>\n<\/td>\n

      		\n

      \u8be6\u7ec6\u4ecb\u7ecd\u5185\u5b58\u533a\u57df\u3001\u5b57\u8282\u7801\u3001\u65b9\u6cd5\u5e95\u5c42，\u7c7b\u52a0\u8f7d\u548cGC\u7b49\u77e5\u8bc6<\/p>\n<\/td>\n<\/tr>\n

      <\/td>\n\n

      \u6df1\u5165\u7406\u89e3\u9ad8\u5e76\u53d1\u7f16\u7a0b<\/p>\n<\/td>\n

      		\n

      \u6df1\u5165Liunx\u5185\u6838\u3001\u6c47\u7f16\u3001C++\u5168\u65b9\u4f4d\u7406\u89e3\u5e76\u53d1\u7f16\u7a0b<\/p>\n<\/td>\n<\/tr>\n

      <\/td>\n\n

      Spring\u6e90\u7801\u5206\u6790<\/p>\n<\/td>\n

      		\n

      Spring\u6838\u5fc3\u4e03IOC\/AOP\u7b49\u6e90\u7801\u5206\u6790<\/p>\n<\/td>\n<\/tr>\n

      <\/td>\n\n

      MyBatis\u6e90\u7801\u5206\u6790<\/p>\n<\/td>\n

      		\n

      MyBatis\u6838\u5fc3\u6e90\u7801\u5206\u6790<\/p>\n<\/td>\n<\/tr>\n

      <\/td>\n\n

      Java\u6838\u5fc3\u6280\u672f<\/p>\n<\/td>\n

      		\n

      \u53ea\u8bb2Java\u6838\u5fc3\u6280\u672f<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

      \u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb7.1k\u6b21\uff0c\u70b9\u8d5e55\u6b21\uff0c\u6536\u85cf50\u6b21\u3002\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8_mindexpression c++<\/p>\n","protected":false},"author":2,"featured_media":10228,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[99,292,43,188,125,427,44,176],"topic":[],"class_list":["post-10235","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-java","tag-292","tag-43","tag-188","tag-125","tag-427","tag-44","tag-176"],"yoast_head":"\n\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/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:\/\/www.wsisp.com\/helps\/10235.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb7.1k\u6b21\uff0c\u70b9\u8d5e55\u6b21\uff0c\u6536\u85cf50\u6b21\u3002\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8_mindexpression c++\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/10235.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"article:published_time\" content=\"2025-04-18T09:54:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250418095421-6802214d499b1.png\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/10235.html\",\"url\":\"https:\/\/www.wsisp.com\/helps\/10235.html\",\"name\":\"\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"isPartOf\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\"},\"datePublished\":\"2025-04-18T09:54:23+00:00\",\"dateModified\":\"2025-04-18T09:54:23+00:00\",\"author\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/10235.html#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.wsisp.com\/helps\/10235.html\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/10235.html#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/www.wsisp.com\/helps\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\",\"url\":\"https:\/\/www.wsisp.com\/helps\/\",\"name\":\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"description\":\"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"contentUrl\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"caption\":\"admin\"},\"sameAs\":[\"http:\/\/wp.wsisp.com\"],\"url\":\"https:\/\/www.wsisp.com\/helps\/author\/admin\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.wsisp.com\/helps\/10235.html","og_locale":"zh_CN","og_type":"article","og_title":"\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","og_description":"\u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb7.1k\u6b21\uff0c\u70b9\u8d5e55\u6b21\uff0c\u6536\u85cf50\u6b21\u3002\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8_mindexpression c++","og_url":"https:\/\/www.wsisp.com\/helps\/10235.html","og_site_name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","article_published_time":"2025-04-18T09:54:23+00:00","og_image":[{"url":"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/04\/20250418095421-6802214d499b1.png"}],"author":"admin","twitter_card":"summary_large_image","twitter_misc":{"\u4f5c\u8005":"admin","\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4":"3 \u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.wsisp.com\/helps\/10235.html","url":"https:\/\/www.wsisp.com\/helps\/10235.html","name":"\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","isPartOf":{"@id":"https:\/\/www.wsisp.com\/helps\/#website"},"datePublished":"2025-04-18T09:54:23+00:00","dateModified":"2025-04-18T09:54:23+00:00","author":{"@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41"},"breadcrumb":{"@id":"https:\/\/www.wsisp.com\/helps\/10235.html#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.wsisp.com\/helps\/10235.html"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.wsisp.com\/helps\/10235.html#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/www.wsisp.com\/helps"},{"@type":"ListItem","position":2,"name":"\u6607\u601d25\u5929\u5b66\u4e60\u6253\u5361\u8425\u7b2c1\u5929|\u5feb\u901f\u5165\u95e8"}]},{"@type":"WebSite","@id":"https:\/\/www.wsisp.com\/helps\/#website","url":"https:\/\/www.wsisp.com\/helps\/","name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","description":"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41","name":"admin","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/","url":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","contentUrl":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","caption":"admin"},"sameAs":["http:\/\/wp.wsisp.com"],"url":"https:\/\/www.wsisp.com\/helps\/author\/admin"}]}},"_links":{"self":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/10235","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/comments?post=10235"}],"version-history":[{"count":0,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/10235\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media\/10228"}],"wp:attachment":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media?parent=10235"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/categories?post=10235"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/tags?post=10235"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/topic?post=10235"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}