的深度神经网络 - 翻译成英语

deep neural network
深度 神经 网络
深层 神经 网络
一 个 深度 神经 网 络
deep neural networks
深度 神经 网络
深层 神经 网络
一 个 深度 神经 网 络

在 中文 中使用 的深度神经网络 的示例及其翻译为 英语

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但是现有的深度神经网络的优化算法并不能提供这样的保证。
But the optimization algorithms that exist for deep neural networks don't afford such guarantees.
他们声称,该技术可以将16位系统的深度神经网络的训练时间加速两到四倍。
This technique could accelerate training time for deep neural networks by two to four times over today's 16-bit systems.
他们声称,该技术可以将16位系统的深度神经网络的训练时间加速两到四倍。
They claim their technique accelerates training time for deep neural networks by 2 to 4 times over 16-bit systems.
例如,针对图片分类的深度神经网络通常基于ImageNet进行训练,而ImageNet上有着超过1400万张的标注图像集。
For example, image classification through deep neural networks may be trained on ImageNet, which has 14 million labelled images.
在许多不同类型的深度神经网络中,卷积神经网络得到了最为广泛的研究。
Among different types of deep neural networks, convolutional neural networks have been most extensively studied.
依赖易于理解的随机森林,而不是完全不透明的深度神经网络
And relies on easily understood random forests instead of completely opaque deep neural nets.
他们构建了一个可以在量子计算机上训练的深度神经网络的理论模型。
The team constructed a theoretical model of a deep neural network that could be trained on a quantum computer.
这套自动化系统可以识别鲨鱼和其他海洋生物及物体,它采用了先进的深度神经网络和图像处理技术。
The automated system can detect and identify sharks as well as marine life/objects using cutting-edge deep learning neural networks and image processing techniques.
然后,我将介绍一些最近提出的更强大的深度神经网络MTL方法。
I will then introduce some more powerful recently proposed methods for MTL in deep neural networks.
单像素攻击成功欺骗了在CIFAR-10数据集上训练的三种类型的深度神经网络
One-pixel attacks that successfully fooled three types of deep neural networks trained on CIFAR-10 dataset.
我们改进了机器学习,就像我们使用的深度神经网络
We improved the machine learning, like the deep neural networks that we're using.
现在这个问题很好地被解决了,而且还是被为了完全无关的视觉分类任务而训练的深度神经网络顺便解决的。
Now they are solved formidably as a byproduct of a deep neural network trained for the completely extraneous task of visual classification.
用于语音识别声学建模的深度神经网络:四个研究组的共同观点(2012),G.Hinton等.[[PDF]](WEB.
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups(2012), G. Hinton et al.[pdf].
他解释称,这种现象可能带来相当于原有已知方法5到10倍的深度神经网络训练速度,进而给整个领域带来革命性的变化。
He showed that it is possible to train deep neural networks 5-10x faster than previously known methods, which has the potential to revolutionize the field.
我们使用基于体素的深度神经网络(DOVE)开发了一种基于卷积深度神经网络的方法,称为DOcking诱饵选择,用于评估蛋白质对接模型。
We developed a convolutional deep neural network-based approach named DOcking decoy selection with Voxel-based deep neural nEtwork(DOVE) for evaluating protein docking models.
这展示了简单的深度神经网络学习的力量。
This shows the surprising power of simple deep neural-network techniques.
该公司还公布了自己的深度神经网络NvidiaDrivenet。
The company also announced Nvidia Drivenet, its own deep neural network.
我们在持续地开发和寻找新的深度神经网络架构。
We continue to develop and investigate new deep neural network architectures.
摘要:带有大量参数的深度神经网络是非常强大的机器学习系统。
Deep neural netswith a lot of parameters are extremely strong machine learning systems.
卷积神经网络(CNN或ConvNet)是最流行的深度神经网络类型之一。
Convolutional neural network(CNN or ConvNet) is one of the most popular types in deep neural network.
结果: 1103, 时间: 0.0264

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