An Interpretation of Neural Network

最新推荐文章于 2023-12-26 12:59:05 发布
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本文介绍了神经网络作为一种计算设备的工作原理，它可以依据所犯错误来更新参数，从而提高计算准确性。一个好的AI算法必须能够从决策中获得反馈并进行进化。这种反馈可以通过人工标记训练材料或通过固定的一套规则来实现。

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Neural Network is a computing device that updates its parameters ( or computational steps) according to the mistakes it made. In other words, the algorithm can learn from mistakes and improve its computational accuracy.


A good AI algorithm must receive a reward ( feedback ) from its decision making and evolve. The reward can be achieved by giving artificial labeling of the training materials or through a fixed set of rules to decide this labeling.

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《计算机程序的构造与解释》（Structure and Interpretation of Computer Programs）是一本经典的计算机科学教材。这本书是由哈罗德·艾布尔森、吉拉德·贝尔和朱利安·贝尔等人共同编写的，被广泛认为是计算机科学...
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