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 may be finished as Element of an official patch or bug take care of. For open-supply computer software, including Linux, a backport can be supplied by a 3rd party after which submitted towards the application advancement staff.
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Backporting is any time a program patch or update is taken from the recent software Variation and applied to an older Edition of the exact same application.
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反向传播算法基于微积分中的链式法则，通过逐层计算梯度来求解神经网络中参数的偏导数。
Backporting needs usage of the program’s resource code. As such, the backport is usually designed and provided by the Main advancement group for closed-supply program.
Backporting is really a capture-all time period for any exercise that applies updates or patches from a newer Edition of software program to an more mature Model.
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一章中的网络缺乏学习能力。它们只能以随机设置的权重值运行。所以我们不能用它们解决任何分类问题。然而，在简单
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一章中的网络是能够学习的，但我们只将线性网络用于线性可分的类。 当然，我们想写通用的人工
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。