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diff --git a/2023/11/07/深度学习框架/index.html b/2023/11/07/深度学习框架/index.html
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+        <div class="date" id="date">
+            <span>November</span>
+            <span>7,</span>
+            <span>2023</span>
+        </div>
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+        <h2 class="title">深度学习框架</h2>
+    </div>
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+    <div class="divider"></div>
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+    <div class="content">
+        <h1 id="DL-Project（总目录）"><a href="#DL-Project（总目录）" class="headerlink" title="DL Project（总目录）"></a>DL Project（总目录）</h1><h2 id="models（子目录）"><a href="#models（子目录）" class="headerlink" title="models（子目录）"></a>models（子目录）</h2><p><code>存放所有模型</code></p>
+<h3 id="model1-py"><a href="#model1-py" class="headerlink" title="model1.py"></a>model1.py</h3><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br></pre></td><td class="code"><pre><span class="line"># 存放配置参数 </span><br><span class="line">class Configure: </span><br><span class="line">			def__init__(self,)</span><br><span class="line"></span><br><span class="line">	</span><br><span class="line">	# 定义模型</span><br><span class="line">	class Model(nn.Module):</span><br><span class="line">		    def __init__(self, config):</span><br><span class="line">        super(Model, self).__init__()</span><br><span class="line">        # 定义网络结构</span><br><span class="line">        </span><br><span class="line">        # 定义传播函数</span><br><span class="line">        def forward(self,x):</span><br><span class="line">      </span><br><span class="line">       	return</span><br></pre></td></tr></table></figure>
+
+
+<h3 id="untils-py"><a href="#untils-py" class="headerlink" title="untils.py"></a>untils.py</h3><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br></pre></td><td class="code"><pre><span class="line"># 存放各种工具函数</span><br><span class="line">例如利用sklearn包中的from sklearn.model_selection import train_test_split进行数据集划分</span><br><span class="line">eg：X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)</span><br><span class="line">X 和 y 是特征矩阵和标签，test_size 设置为0.2表示将数据集分成80%的训练集和20%的测试集，random_state 用于确保每次运行时得到相同的随机分割结果。</span><br></pre></td></tr></table></figure>
+<h3 id="train-py"><a href="#train-py" class="headerlink" title="train.py"></a>train.py</h3><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br></pre></td><td class="code"><pre><span class="line"># 损失函数</span><br><span class="line"># 优化器</span><br><span class="line"></span><br><span class="line"># 训练</span><br><span class="line"># 开启训练模式</span><br><span class="line"># 进入多轮迭代</span><br><span class="line"># 将数据放入模型，需要先将数据转化为张量</span><br><span class="line"># 计算loss</span><br><span class="line"># 对结果进行处理，是二分类还是多分类</span><br><span class="line"># loss反向传播</span><br><span class="line"># 优化器调优</span><br><span class="line"># 计算正确率或者画损失函数图像 抑或者调用sklearn包中的工具 </span><br><span class="line">例如from sklearn.metrics import confusion_matrix, classification_report accuracy_score</span><br><span class="line">accuracy_score(y_pre,y_true)</span><br><span class="line"># 在多轮训练后，仍然没有得到提升后，停止训练，保存参数</span><br><span class="line"></span><br><span class="line"># 测试</span><br><span class="line"># 进入测试模式</span><br><span class="line"># 加载模型</span><br><span class="line"># 调用评估函数</span><br><span class="line"></span><br><span class="line"># 评估函数 用于动态计算输入的数据集的评价指标</span><br><span class="line"></span><br></pre></td></tr></table></figure>
+<h3 id="run-py"><a href="#run-py" class="headerlink" title="run.py"></a>run.py</h3><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br></pre></td><td class="code"><pre><span class="line">from importlib import import_module</span><br><span class="line">import argparse</span><br><span class="line"></span><br><span class="line"># 配置命令行脚本参数</span><br><span class="line">parser = argparse.ArgumentParser(description=' ')</span><br><span class="line">parser.add_argument()</span><br><span class="line">parser.add_argument()</span><br><span class="line">args = parser.parse_args()  # argparse 解析用户在命令行中输入的参数，并将这些参数的值存储在 args 对象中</span><br><span class="line"></span><br><span class="line">if __name__ == '__main__':</span><br><span class="line">    # 通过import_module进行模型切换</span><br><span class="line"></span><br><span class="line">    x = import_module('models.' + model_name)</span><br><span class="line">    config = x.Config(dataset, )</span><br></pre></td></tr></table></figure>
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diff --git a/archives/2023/11/index.html b/archives/2023/11/index.html
@@ -153,6 +153,30 @@ <h2 class="title">Archives</h2>
 
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+                        深度学习框架
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+
+                    <div class="time">
+                        <span>November</span>
+                        <span>&nbsp;7,&nbsp;</span>
+                        <span>2023</span>
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diff --git a/archives/2023/index.html b/archives/2023/index.html
@@ -153,6 +153,30 @@ <h2 class="title">Archives</h2>
 
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+                        深度学习框架
+                    </div>
+
+                    <div class="time">
+                        <span>November</span>
+                        <span>&nbsp;7,&nbsp;</span>
+                        <span>2023</span>
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diff --git a/archives/index.html b/archives/index.html
@@ -153,6 +153,30 @@ <h2 class="title">Archives</h2>
 
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+                        深度学习框架
+                    </div>
+
+                    <div class="time">
+                        <span>November</span>
+                        <span>&nbsp;7,&nbsp;</span>
+                        <span>2023</span>
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+            </a>
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+
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