网络的权重和偏置如下（这些值是随机初始化的，实际情况中会使用随机初始化）：
This process can be as easy as updating several lines of code; it also can require An important overhaul that is certainly spread throughout many information in the code.
前向传播是神经网络通过层级结构和参数，将输入数据逐步转换为预测结果的过程，实现输入与输出之间的复杂映射。
Backporting is whenever a computer software patch or update is taken from the new program Model and applied to an more mature Variation of precisely the same program.
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The Toxic Responses Classifier is a sturdy device Studying tool applied in C++ meant to discover poisonous responses in digital conversations.
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通过链式法则，我们可以从输出层开始，逐层向前计算每个参数的梯度，这种逐层计算的方式避免了重复计算，提高了梯度计算的效率。
的原理及实现过程进行说明，通俗易懂，适合新手学习，附源码及实验数据集。
Backporting has several advantages, while it can be certainly not a straightforward repair to complicated security difficulties. Further more, counting on a backport within the prolonged-phrase may possibly introduce other security threats, the potential risk of which can outweigh that of the original challenge.
Backports can be a highly effective way to handle protection flaws and vulnerabilities in more mature variations of application. Nevertheless, Every backport introduces a good volume of complexity throughout the system architecture and might be high priced to keep up.
的基础了，但是很多人在学的时候总是会遇到一些问题，或者看到大篇的公式觉得好像很难就退缩了，其实不难，就是一个链式求导法则反复用。如果不想看公式，可以直接把数值带进去，实际的计算一下，体会一下这个过程之后再来推导公式，这样就会觉得很容易了。
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利用计算得到的误差梯度，可以进一步计算每个权重和偏置参数对于损失函数的梯度。