Examples of using Artificial neural networks in English and their translations into Chinese
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Despite their massive size, successful deep artificial neural networks can exhibit a remarkably small difference between training and test performance.
Combining big data with large amounts of compute makes it possible to create artificial neural networks with many so-called hidden layers.
将大数据与大量计算相结合，可以创建具有许多所谓的隐藏层的人工神经网络。At least conceptually, the theory behind GANs is pretty straightforward: take two cutting edge artificial neural networks and pit them against one another.
至少从概念上讲，GAN背后的理论非常简单：采用两个最先进的人工神经网络并使它们相互对立。Each of these components differ substantially between the biological neural networks of the human brain and the artificial neural networks expressed in software.
在每一个组件中，人脑中的生物神经网络和用软件表示的人工神经网络中都有着明显的不同。This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning!
本课程将指导您如何使用Google的TensorFlow框架来创建用于深度学习的人工神经网络。!This course will guide you through how to use Google's Tensor Flow framework to create artificial neural networks for deep learning.
本课程将指导您如何使用Google的TensorFlow框架来创建用于深度学习的人工神经网络。This course will help a learner use Google's TensorFlow framework to create artificial neural networks for deep learning.
本课程将指导您如何使用Google的TensorFlow框架来创建用于深度学习的人工神经网络。To continue the analogy with biological, this software is essentially based on artificial neural networks.
为了继续生物学类比，该软件基本上基于人工神经网络。Deep neural networks(DNNs) are fully connected artificial neural networks with many hidden layers(hence deep).
深层神经网络（DeepNeuralNetwork，DNN）是一种完全连接的人工神经网络，具有许多隐藏层（因此深层）。The approach they are using teaches computers to interpret the complex patterns seen in such images by"building multi-layer artificial neural networks," says Prof. Beck.
他们使用的方法是教会计算机通过“建立多层人工神经网络”解释这些图像中所看到的复杂内容，Beck教授说。Of course, artificial neural networks(ANNs)- a type of artificial intelligence based on biological neural networks- don't automatically and instinctively fall asleep and dream.
当然，人工神经网络(ANNs)--一种基于生物神经网络的人工智能--不会自动地、本能地入睡和做梦。Applications within this area include robotics, expert systems, pattern recognition(image and voice), artificial neural networks, theorem proving, and game playing.
这个领域的应用程序包括机器人、专家系统、模式识别（图像和语音）、人工神经网络、定理证明和博弈等。The ancient term"Deep Learning" was first introduced to Machine Learning by Dechter(1986), and to Artificial Neural Networks(NNs) by Aizenberg et al(2000).
古老的术语“深度学习”第一次引入到机器学习上是通过Dechter（1986），引入到人工神经网络（NNs）中则是通过Aizenber等人（2000）。Since 2012, computers have become dramatically better at understanding speech and images, thanks to a once obscure technology called artificial neural networks.
自2012年以来，计算机在理解语音和图像方面取得了显著的进步，这要归功于一种曾经鲜为人知的技术--人工神经络。The artificial neural network is capable of learning and they need to be trained.
人工神经网络能够学习，而且它们需要训练。The artificial neural network method has less prediction error than the regression model.
人工神经网络方法较回归模型预测误差较小。One classical type of artificial neural network is the Hopfield net.
人工智能神经网络的经典蓝图之一是Hopfield模型。An Artificial Neural Network.
一人工智神经网络.An Artificial Neural Network.
一人工神经网络.An Artificial Neural Network.
个人工神经网络.
