机器学习理论杂记

野性酷女 2022-10-20 12:16 143阅读 0赞

### 机器学习理论杂记 ###

<table> 
 <thead> 
  <tr> 
   <th>序号</th> 
   <th>名称</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>1</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/116332997" rel="nofollow">常用的Optimizer：SGD、SGDM、Adagrad、RMSProp、Adam</a></td> 
  </tr> 
  <tr> 
   <td>2</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/116953480" rel="nofollow">Bounding Box Regression</a></td> 
  </tr> 
  <tr> 
   <td>3</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/116955372" rel="nofollow">最大似然估计（MLE）、最大后验概率估计（MAP）</a></td> 
  </tr> 
  <tr> 
   <td>4</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/117455434" rel="nofollow">SoftMax</a></td> 
  </tr> 
  <tr> 
   <td>5</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/117669019" rel="nofollow">Transformer</a></td> 
  </tr> 
  <tr> 
   <td>6</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/119448154" rel="nofollow">self-attention与Transformer补充</a></td> 
  </tr> 
  <tr> 
   <td>7</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/117677712" rel="nofollow">Back propagation反向传播</a></td> 
  </tr> 
  <tr> 
   <td>8</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/117718643" rel="nofollow">Convolution-CNN卷积</a></td> 
  </tr> 
  <tr> 
   <td>9</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/119430063" rel="nofollow">RNN&amp;LSTM</a></td> 
  </tr> 
  <tr> 
   <td>10</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/119685789" rel="nofollow">Generation and GAN（初步认知）</a></td> 
  </tr> 
  <tr> 
   <td>11</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/119998251" rel="nofollow">奇异值分解SVD</a></td> 
  </tr> 
 </tbody> 
</table>

#### 周志华机器学习 ####

<table> 
 <thead> 
  <tr> 
   <th>序号</th> 
   <th>名称</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td>1</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/118713121" rel="nofollow">周志华机器学习：决策树</a></td> 
  </tr> 
  <tr> 
   <td>2</td> 
   <td><a href="https://blog.csdn.net/symuamua/article/details/118904136" rel="nofollow">周志华机器学习：神经网络</a></td> 
  </tr> 
 </tbody> 
</table>