深度神经 - 翻译成英语

• deep neural

在 中文 中使用 深度神经 的示例及其翻译为 英语

它是一种机器学习算法，使用深度神经网络来学习声音的特征，然后根据这些特征创建一个全新的声音。
This uses a deep neural network to learn the characteristics of sounds, and then creates new sounds based on these characteristics.

当图片或者声音输入深度神经网络最底层后，数据就引发一连串放电活动。
When sounds or images were fed into the bottom layer of a deep neural network, the data set off a cascade of firing activity.

深度神经网络的参数是W和b，模型在反向传播步骤中更新。
Parameters of a deep neural network are W and b, which the model updates during the backpropagation step.

为了建立深度神经网络，科学家利用415名患者的250万张图像对系统进行训练。
To create the deep neural network, the scientists trained the system on 2.5 million images taken from 415 patients.

深度神经网络本身是有缺陷的，初始层中一个微小的扰动，就会导致后面层巨大的变化。
The deep neural network by itself is ill-posed, i.e. a small perturbation in the initial layers, leads to a large change in the later layers.

深度神经网络本身脆弱的，即初始层的微小扰动都会导致后面层很大的变化。
The deep neural network by itself is ill-posed, i.e. a small perturbation in the initial layers, leads to a large change in the later layers.

当深度神经网络学习数以千计的狗的样本图像之后，它可像人一样精确地从新图像中辨识出狗。
After a deep neural network has“learned” from thousands of sample dog photos, it can identify dogs in new photos as accurately as people can.

像大脑一样，深度神经网络具有神经元层--这些人工神经元构成了计算机的记忆。
Like a brain, a deep neural network has layers of neurons- artificial ones that are figments of computer memory.

随后，深度神经网络能够洞悉森林的健康情况，而这些信息用肉眼是无法观察到的。
The deep neural networks can then draw insights into forest health that are otherwise invisible to the human eye.

这就是深度神经网络的每个块（层）是如何工作的。
This is how each block(layer) of a deep neural network works.

在线超市OcADO在其平台上实现了深度神经网络，将欺诈检测提高了15倍。
An online supermarket Ocado implemented a deep neural network on its platform to improve fraud detection by 15 times.

为了解决这个问题，我们必须使用一些特殊的技巧，并进行一些深度神经网络以外的特殊处理。
To work around this, we have to use some special tricks and extra precessing in addition to a deep neural network.

现在我们已经让音频转变为一个易于处理的格式了，现在我们将要把它输入深度神经网络。
Now that we have our audio in a format that's easy to process, we will feed it into a deep neural network.

这个人类水平的对话语音识别系统用到了10个不同的DNN（深度神经网络）。
This human-level dialogue speech recognition system uses 10 different DNN(depth neural networks).

RNN首先，用于图像识别和语音识别的常用技术是深度神经网络。
RNN To begin with, a common technique used for image recognition and speech recognition is the Deep Neural Network.

目前领先的方法是R-CNN[7]，候选窗口的特征是借助深度神经网络进行抽取的。
In the leading object detection method R-CNN[7], the features from candidate windows are extracted via deep convolutional networks.[…].

了解如何使用MATLAB、普通的网络摄像机和深度神经网络来识别周围环境中的物品。
See how to use MATLAB, a simple webcam, and a deep neural network to identify objects in your surroundings.

就像对狗狗心中的世界那样，我们也常常不能理解深度神经网络黑盒子内的世界。
Like my dog's world, we don't always understand what is inside the black box of the deep neural network.

就像对狗狗心中的世界那样，我们也常常不能理解深度神经网络黑盒子内的世界。
Just as with my dog's inner world, we don't always understand what is inside the black box of the deep neural network.

当ANN具有两个或更多个隐藏层时，它被称为深度神经网络（DNN）。
When a NN has two or more hidden layers, it's called a deep neural network.