神经网络是模仿大脑运行的计算机系统。
Neural networks are computer systems which mimic the workings of the brain.
因此，他们的研究暗示了一种不同的特征模型，该模型被认为是用来操纵内部神经网络的。
Their research thus implies a different character model, which is supposed to manipulate the neural networks inside.
这有点令人不安，因为重要的习惯神经网络不是仅仅通过例行程序形成的，也不能通过聪明的线索来逆转。
This is a bit disturbing, because the important habitual neural networks are not formed by mere routine, nor can they be reversed by clever cues.
布朗大学的研究人员发现，左脑的神经网络比右脑的网络“更活跃”。
Researchers from Brown University found that a network in the left hemisphere of the brain "remained more active" than the network in the right side of the brain.
学习需要大脑去创造神经网络。
神经网络也可假定为可以学习。
在培训过程中，神经网络输入。
平白的说，大脑神经网络可以比作电路。
Crudely put, the brain's neural networks can be thought of as electrical circuits.
大脑依靠神经网络工作。
图10：神经网络评估。
监督学习是训练神经网络和决策树的最常见技术。
Supervised learning is the most common technique for training neural networks and decision trees.
清单3：用bpnn . py建立一个神经网络。
把神经网络培训成能实现两个切割就可完成这种工作。
This would be accomplished by training a neural net to make two cuts.
有人向您建议，一些神经网络算法可能会提供解决方案。
You have been advised that some neural net algorithm might provide a solution.
研究人员用所谓的人工神经网络的技术分析数据的模式。
The researchers used a technique called artificial neural networks to look for patterns in the data.
这些新闻广播频道今天已成为国际通信和媒体的主要神经网络。
These news broadcasting channels have today become the primary nerve of international communication and media.
RF的神经网络与调节我们如何去思考与记忆的大脑皮层相连接。
The RF's neural networks link up with the cerebral cortex, which regulates how we think and remember.
神经网络有几种不同的拓扑结构，但是最简单的一种是前馈网络。
Neural networks have several different topologies, but the simplest is known as a feedforward network.
这种基因的“重新编程”帮助细胞生长并组成更发达的神经网络。
This reprogramming of the genes in the brain helps nerve cells to grow and develop larger networks.
随着大脑的发育，这些细胞彼此连接起来，形成了一个神经网络。
As the brain develops, these cells connect to one another forming actual neurological Bridges.
他们普遍缺乏经验，还在学习如何使用大脑的新神经网络。
Along with lacking experience generally, they're still learning to use their brain's new networks.
神经网络用这些来调整权系数，其目的使培训中的目标与其分类相匹配。
The neural net uses these to modify its weights, and it aims to match its classifications with the targets in the training set.
现在这篇文章利用了其中的神经网络代码来演示Psyco 的功能。
The current article utilizes that neural network code to demonstrate Psyco's capabilities.
连接她大脑与耳朵的神经网络几乎已经完成了，稳步地促进她对声音的反应。
The network of nerves connecting her brain to her ears is almost complete, steadily improving her response to sound.
连接她大脑与耳朵的神经网络几乎已经完成了，稳步地促进她对声音的反应。
The network of nerves connecting her brain to her ears is almost complete steadily improving her response to sound.
有趣的是，因为它看上去很像神经元的样子，所以通常都将它称之为神经网络。
That is interesting because it kind of looks to some extent like the way neurons look and this is often known as neural networks.
那么，神经组织，只能是由连续的神经网络而不是分离的细胞组成的。
Nervous tissue must, then, be composed of a continuous network rather that discrete units.
一个使用这个规则的神经网络称为感知器，并且这个规则被称为感知器学习规则。
A neural net that USES this rule is known as a perceptron, and this rule is called the perceptron learning rule.
他发现进化后的大脑在执行其设定的任务时比传统的神经网络大脑具有更好的表现。
He has found that his evolved brains have become better than traditional neural network brains at the tasks he sets.
这种学习可以使用神经网络或者支持向量机，不过用决策树也可以实现类似的功能。
This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.
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