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An artificial neural network is an interconnected group of nodes, akin to the vast network of [[neurons in a brain. Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one artificial neuron to the input of another.]]

An artificial neural network is an interconnected group of nodes, akin to the vast network of [[neurons in a brain. Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one artificial neuron to the input of another.]]

'''人工神经网络 Artificial neural network，ANN'''是一组相互连接的节点，类似于大脑中庞大的神经元网络。在这里，每个圆形节点代表一个人工'''神经元 Neuron'''，一个箭头代表从一个人工神经元的输出到另一个输入的连接

'''人工神经网络 Artificial Neural Network，ANN'''是一组相互连接的节点，类似于大脑中庞大的神经元网络。在这里，每个圆形节点代表一个人工'''神经元 Neuron'''，一个箭头代表从一个人工神经元的输出到另一个输入的连接

Artificial neural networks (ANNs), or [[Connectionism|connectionist]] systems, are computing systems vaguely inspired by the [[biological neural network]]s that constitute animal [[brain]]s. Such systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

Artificial neural networks (ANNs), or [[Connectionism|connectionist]] systems, are computing systems vaguely inspired by the [[biological neural network]]s that constitute animal [[brain]]s. Such systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

Artificial neural networks (ANNs), or connectionist systems, are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

Artificial neural networks (ANNs), or connectionist systems, are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

人工神经网络，或'''连接主义系统 Connectionism system'''，是计算机系统受到构成动物大脑的生物神经网络的启发后的研究成果。这种系统通过研究样本来“学习”如何执行任务，通常不需要对任何特定任务的规则进行编程。

人工神经网络，或'''连接主义系统 Connectionism System'''，是计算机系统受到构成动物大脑的生物神经网络的启发后的研究成果。这种系统通过研究样本来“学习”如何执行任务，通常不需要对任何特定任务的规则进行编程。

The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis.

The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis.

人工神经网络方法的最初目标是用人类大脑解决问题的同样方式。然而，随着时间的推移，其注意力转移到执行特定的任务上，导致了与生物学的偏差。现在人工神经网络已被用于各种任务中，包括'''计算机视觉 Computer visio'''、'''语音识别 Speech recognition'''、'''机器翻译 Machine translation'''、'''社会网络过滤 Social network filtering'''、玩棋盘和视频游戏以及医疗诊断。

人工神经网络方法的最初目标是用人类大脑解决问题的同样方式。然而，随着时间的推移，其注意力转移到执行特定的任务上，导致了与生物学的偏差。现在人工神经网络已被用于各种任务中，包括'''计算机视觉 Computer Visio'''、'''语音识别 Speech Recognition'''、'''机器翻译 Machine Translation'''、'''社会网络过滤 Social Network Filtering'''、玩棋盘和视频游戏以及医疗诊断。

深度学习由人工神经网络中的多个隐层组成，通过这种方法可以尽量模拟人类大脑将光和声音处理成视觉和听觉的方式。深度学习的一些成功应用是计算机视觉和语音识别。

深度学习由人工神经网络中的多个隐层组成，通过这种方法可以尽量模拟人类大脑将光和声音处理成视觉和听觉的方式。深度学习的一些成功应用是计算机视觉和语音识别。

==== 决策树 Decision trees ====

==== 决策树 Decision trees ====