A TLU learns by changing its weights and threshold.
TLU通过改变它的权系数和阈值来学习。
This TLU classifies these inputs into two groups: the 1 group and the 0 group.
TLU将这些输入分为两组：0组和1组。
A TLU that could do this would need to make more than one cut in the space of possible inputs.
用tlu来实现需要对可能的输入空间进行不止一次的分割。
In the case of a TLU with an arbitrary number of inputs, n, the set of possible inputs corresponds to a set of points in N-dimensional space.
在TLU有任意数目的N个输入的情况下，一组可能的输入对应于n维空间中的一个点集。
The first step toward understanding neural nets is to abstract from the biological neuron, and to focus on its character as a threshold logic unit (TLU).
理解神经网络的第一步是从对抽象生物神经开始，并把重点放在阈值逻辑单元（TLU）这一特征上。
Insofar as a human brain that knows about logical conjunction (Boolean AND) would similarly classify logically conjoined sentences, this TLU knows something like logical conjunction.
就像懂得逻辑连接(布尔运算AND)的人脑可以类似地将逻辑连接的句子分类那样，TLU也懂得一点逻辑连接之类的东西。
Insofar as a human brain that knows about logical conjunction (Boolean AND) would similarly classify logically conjoined sentences, this TLU knows something like logical conjunction.
就像懂得逻辑连接(布尔运算AND)的人脑可以类似地将逻辑连接的句子分类那样，TLU也懂得一点逻辑连接之类的东西。
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