链式法则不仅适用于简单的两层神经网络，还可以扩展到具有任意多层结构的深度神经网络。这使得我们能够训练和优化更加复杂的模型。
This can be finished as Element of an Formal patch or bug resolve. For open-supply application, like Linux, a backport is often furnished by a third party and afterwards submitted to the computer software growth workforce.
A backport is most commonly utilised to deal with safety flaws in legacy software program or older variations of your program that remain supported via the developer.
隐藏层偏导数：使用链式法则，将输出层的偏导数向后传播到隐藏层。对于隐藏层中的每个神经元，计算其输出相对于下一层神经元输入的偏导数，并与下一层传回的偏导数相乘，累积得到该神经元对损失函数的总偏导数。
was the ultimate Formal release of Python two. So as to remain present-day with security patches and keep on experiencing most of the new developments Python provides, organizations needed to enhance to Python 3 or begin freezing needs and decide to legacy very long-time period guidance.
Just as an upstream computer software application influences all downstream apps, so also does a backport applied to the core application. That is also accurate In the event the backport is applied throughout the kernel.
CrowdStrike’s data science crew faced this exact Predicament. This post explores the team’s selection-creating method plus the ways the workforce took to update around 200K strains of Python into a contemporary framework.
Backporting demands access to the computer software’s resource code. As a result, the backport can be formulated and furnished by the core growth crew for shut-source computer software.
Nevertheless, in find scenarios, it could be important to retain a legacy software if the more recent Model of the appliance has stability issues which could influence mission-vital operations.
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过程中，我们需要计算每个神经元函数对误差的导数，从而确定每个参数对误差的贡献，并利用梯度下降等优化
Carry out robust tests to make certain the backported code or backport deal maintains complete functionality in the IT architecture, as well as addresses the fundamental safety flaw.
链式法则是微积分中的一个基本定理，用于计算复合函数的导数。如果一个函数是由多个函数复合而成，那么该复合函数的导数可以通过各个简单函数导数的乘积来计算。
根据问题的类型，输出层可以直接输出这些值（回归问题），或者通过激活函数（如softmax）转换为概率分布（分类问题）。