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1·The Hopfield net has two forms.

Hopfield 网络有两种形式。

2·You should be aware of the limitations on Hopfield nets.

您应该意识到Hopfield网络的局限性。

3·Specifically, the suggestion is that you might employ a Hopfield net.

具体说，建议是说您可以使用一个Hopfield网络。

4·You already know that a Hopfield can stabilize at a spurious local low.

您已经知道，Hopfield可能会稳定于一个假的局部低点。

5·The algorithmic details of the Hopfield net suggest why it can sometimes undo noise.

Hopfield网络的算法细节说明了为什么它有时可以消除噪声。

6·To begin with, the Hopfield net must have access to a library or set of basic patterns.

首先，Hopfield 网络必须可以访问一个库或者一组基本图案。

7·Describing the Hopfield net in terms of energy has an interesting and important consequence.

以能量的方式来描述Hopfield网络有着有趣而且重要的意义。

8·To introduce noise into a pattern, the Hopfield net visits each address in the array of nodes.

为了给一个图案引入噪声，Hopfield要访问节点数组中的每一个地址。

9·When you experiment with net.py, and when reconstruction is successful, the Hopfield net's behavior startles.

当您体验 net.py，当重构成功时，Hopfield 网络的行为令人震惊。

10·Correct reconstruction illustrates here that a Hopfield net can be far more fault-tolerant than the brain.

在这里，正确的重构说明Hopfield网络的容错性远超过大脑。