@@ -434,8 +434,12 @@ <h1 class="description center-align post-title">深度学习模型训练全过
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< div class ="article-tag ">
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- < a href ="/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/ ">
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- < span class ="chip bg-color "> 深度学习</ span >
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+ < a href ="/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80/ ">
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+ < span class ="chip bg-color "> 深度学习基础</ span >
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+ </ a >
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+
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+ < a href ="/tags/%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83/ ">
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+ < span class ="chip bg-color "> 模型训练</ span >
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</ a >
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</ div >
@@ -466,7 +470,7 @@ <h1 class="description center-align post-title">深度学习模型训练全过
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< div class ="post-date info-break-policy ">
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< i class ="far fa-calendar-check fa-fw "> </ i > 更新日期:
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- 2024-08-29
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+ 2024-08-31
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</ div >
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@@ -751,8 +755,12 @@ <h2 id="8-加载模型"><a href="#8-加载模型" class="headerlink" title="8.
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< div class ="article-tag ">
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- < a href ="/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/ ">
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- < span class ="chip bg-color "> 深度学习</ span >
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+ < a href ="/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80/ ">
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+ < span class ="chip bg-color "> 深度学习基础</ span >
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+ </ a >
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+
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+ < a href ="/tags/%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83/ ">
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+ < span class ="chip bg-color "> 模型训练</ span >
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</ a >
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</ div >
@@ -793,30 +801,29 @@ <h2 id="8-加载模型"><a href="#8-加载模型" class="headerlink" title="8.
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< article id ="prenext-posts " class ="prev-next articles ">
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< div class ="row article-row ">
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- < div class ="article col s12 m6 " data-aos ="fade-up " data-aos =" fade-up " >
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+ < div class ="article col s12 m6 " data-aos ="fade-up ">
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< div class ="article-badge left-badge text-color ">
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- < i class ="far fa-dot-circle "> </ i > 本篇
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- </ div >
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+ < i class ="fas fa-chevron-left "> </ i > 上一篇</ div >
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< div class ="card ">
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- < a href ="/2024/08/29/shen-du-xue-xi-mo-xing-xun-lian-quan-guo-cheng / ">
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+ < a href ="/2024/08/31/juan-ji-chi-hua-ji-suan / ">
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< div class ="card-image ">
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- < img src ="/medias/featureimages/21.jpg " class ="responsive-img " alt ="深度学习模型训练全过程 ">
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+ < img src ="/medias/featureimages/21.jpg " class ="responsive-img " alt ="卷积、池化计算 ">
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- < span class ="card-title "> 深度学习模型训练全过程 </ span >
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+ < span class ="card-title "> 卷积、池化计算 </ span >
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</ div >
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</ a >
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< div class ="card-content article-content ">
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< div class ="summary block-with-text ">
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- 本文记录学习深度学习模型训练的流程,包括:数据准备、定义并调用模型、训练模型、评估模型、保存模型、测试模型等
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+ 本文记录卷积和池化计算的原理和计算公式
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</ div >
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< div class ="publish-info ">
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- < span class ="publish-date ">
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- < i class ="far fa-clock fa-fw icon-date "> </ i > 2024-08-29
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- </ span >
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+ < span class ="publish-date ">
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+ < i class ="far fa-clock fa-fw icon-date "> </ i > 2024-08-31
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+ </ span >
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< span class ="publish-author ">
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< i class ="fas fa-bookmark fa-fw icon-category "> </ i >
@@ -829,12 +836,19 @@ <h2 id="8-加载模型"><a href="#8-加载模型" class="headerlink" title="8.
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</ span >
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</ div >
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</ div >
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-
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< div class ="card-action article-tags ">
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- < a href ="/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/ ">
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- < span class ="chip bg-color "> 深度学习</ span >
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+ < a href ="/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80/ ">
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+ < span class ="chip bg-color "> 深度学习基础</ span >
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+ </ a >
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+
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+ < a href ="/tags/%E5%8D%B7%E7%A7%AF/ ">
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+ < span class ="chip bg-color "> 卷积</ span >
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+ </ a >
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+
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+ < a href ="/tags/%E6%B1%A0%E5%8C%96/ ">
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+ < span class ="chip bg-color "> 池化</ span >
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</ a >
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</ div >
@@ -1133,7 +1147,7 @@ <h2 id="8-加载模型"><a href="#8-加载模型" class="headerlink" title="8.
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< br >
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< i class ="fas fa-chart-area "> </ i > 站点总字数: < span
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- class ="white-color "> 19.8k </ span > 字
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+ class ="white-color "> 20.6k </ span > 字
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