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* [ 反向传播算法(过程及公式推导)] ( https://blog.csdn.net/u014313009/article/details/51039334 )
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* [ 交叉熵代价函数(作用及公式推导)] ( https://blog.csdn.net/u014313009/article/details/51043064 )
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* ** Softmax** :[ 详解softmax函数以及相关求导过程] ( https://zhuanlan.zhihu.com/p/25723112 ) && [ softmax的log似然代价函数(公式求导)] ( https://blog.csdn.net/u014313009/article/details/51045303 )
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+ * ** 权重初始化**
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+ * [ 神经网络中的权重初始化一览:从基础到Kaiming] ( https://zhuanlan.zhihu.com/p/62850258 )
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+ * [ 深度学习入门--权重初始值的优化] ( https://zhuanlan.zhihu.com/p/61641174 )
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+ * [ 谈谈神经网络权重为什么不能初始化为0] ( https://zhuanlan.zhihu.com/p/75879624 )
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+ * [ 神经网络中的偏置(bias)究竟有这么用?] ( https://www.zhihu.com/question/305340182 )
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+ * [ 深度学习里面的偏置为什么不加正则?] ( https://www.zhihu.com/question/66894061 )
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## 四. 炼丹术士那些事
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