卷积神经 in English translation

• convolutional neural
• convolution neural

Examples of using 卷积神经 in Chinese and their translations into English

首先，她的团队利用已知的被称为卷积神经网络（CNN）的机器学习架构开发了一个诊断AI。
First her team worked on the diagnostic AI, choosing to use a machine-learning architecture known as a convolutional neural network(CNN).

该团该团队使用了其中80％的图像来训练卷积神经网络测量一个人的年龄，并对其大脑进行扫描。
The team used 80 percent of these images to train a convolutional neural network to determine a person's age, given their brain scan.

这一结构可以使得卷积神经网络能够利用输入数据的二维结构。
The convolutional neural network can utilize the two-dimensional structure of input data.

LeNet：第一个成功的卷积神经网络应用，是YannLeCun在上世纪90年代实现的。
The first successful applications of Convolutional Networks were developed by Yann LeCun in 1990s.

近几年来，卷积神经网络(CNN)在计算机视觉领域取得了巨大的成功。
In recent years, the convolutional neural network(CNN) has achieved great success in many computer vision tasks.

卷积神经网络(CNN)可以执行令人印象深刻的图像识别功能，但是很难准确地跟踪它们如何做出决定。
A Convolutional Neural Network(CNN) can perform impressive feats of image recognition, but it is difficult to trace exactly how they arrive at their decisions.

卷积神经网络赢得了德国交通标志识别竞赛，识别准确率为99.46％（人类最高准确率是99.22％）。
A convolutional neural network wins the German Traffic Sign Recognition competitionwith 99.46% accuracy(vs. humans at 99.22%).

卷积神经网络赢得了德国交通标志识别竞赛，识别准确率为99.46％（人类最高准确率是99.22％）。
The German Traffic Sign Recognition competition was won by a convolutional neural network which scored an accuracy of 99.46%, compared to 99.22% by humans.

卷积神经网络在数百、数千、甚至数百万张图像上训练。
A convolutional neural network is trained on hundreds, thousands, or even millions of images.

卷积神经网络基本是一个标准的神经网络，通过共享权重在整个空间扩展。
A Convolutional Neural Network is basically a standard neural network that has been extended across space using shared weights.

卷积神经网络中的每个层都在图像上应用过滤器来拾取特定的图案或特征。
Every layer within a convolutional neural network applies a filter across the image to pick up specific patterns or features.

这个模块以卷积神经网络创建的特征图为输入，并且将它们转换成了三个特征空间。
This module takes the feature map, created by the convolutional neural network, and transforms it into three feature spaces.

一个深度学习模型（如卷积神经网络）并不会试图即刻理解整个问题所在。
A Deep Learning model(such as a Convolutional Neural Network) does not try to understand the entire problem at once.

卷积神经网络受到生物过程的启发，因为神经元之间的连接模式类似于动物视觉皮层的组织。
Convolutional networks were inspired by biological processes in that the connectivity pattern between neurons resembles the organization of the animal visual cortex.

LeCun在贝尔实验室研究出了许多新的机器学习方法，其中包括卷积神经网络--由动物视觉皮质启发的模型。
At Bell Labs, LeCun developed a number of new machine learning methods, including the convolutional neural network- modeled after the visual cortex in animals.

借助先进的深度学习，您现在可以直观地看到整个深度学习过程，或可以构建卷积神经网络。
With advanced in deep learning, you can now visualise the entire deep learning process or just the Convolutional Neural Network you have built.

YOLO仅使用卷积层，这就使其成为全卷积神经网络（FCN）。
YOLO makes use of only convolutional layers, making it a fully convolutional network(FCN).

使用Caffe，你可以轻易地构建一个用于图像分类的CNN（卷积神经网络）。
With Caffe, you can very easily build a convolutional neural network(CNN) for image classification.

您可以使用此工具来帮助您训练模型，以便随后通过卷积神经网络使用它。
You can use this tool to help train the model that you then utilize via the Convolutional Neural Network.

深度学习系统中一个特别有用的架构被称为卷积神经网络或ConvNet。
One particularly useful architecture of a deep learning system is called a convolutional neural network, or ConvNet.