CONVOLUTION in Chinese translation

• 卷积

Examples of using Convolution in English and their translations into Chinese

Viewing transposed convolution in the examples above could help us build up some intuitions.
观察上述例子中的转置卷积能帮助我们构建起一些直观认识。

If your convolution layer has 64 or 128 filters, that's probably plenty.
如果你的卷积层有64或128个滤波器，这就已经足够了。

The spatially separable convolution operates on the 2D spatial dimensions of images, i.e. height and width.
空间可分卷积操作的是图像的2D空间维度，即高和宽。

ReLUs are present after each convolution layer that helps to improve nonlinearity of the network.
最重要的是，每个conv层之后都有ReLU，这有助于提高网络的非线性。

The figure below shows the convolution of two square pulses(blue and red) and the results.
下面的图片显示了两个矩形脉冲（蓝色和红色）的卷积运算及其结果。

The spectrum of the sampled signal Y(f) it turns out will actually be the convolution of X(f) with W(f).
它结果的采样信号Y（f）的频谱实际上是X（f）与W（f）的卷积。

A guide to convolution arithmetic for deep learning(Link).
这里有一篇不错的文章（Aguidetoconvolutionarithmeticfordeeplearning，WEB.

Thus, there is no need to reverse the filter first before training as in true convolution.
因此，在训练之前，没必要像在真正的卷积中那样首先反转过滤器。

This paper introduces two new modules to enhance the transformation modeling capacity of CNNs, namely, deformable convolution and deformable RoI pooling.
该论文提出两个新的模块来增强CNNs的这种建模能力，称为deformableconvolutionanddeformableRoIpooling，两个模块的基.

To make training faster, we used non-saturating neurons and a very efficient GPU implementation ofthe convolution operation.
为了训练的更快，我们使用了非饱和神经元并对卷积操作进行了非常有效的GPU实现。

To make training faster, we used non-saturating neurons and a very efficient GPU implementation of the convolution operation.
为了训练的更快，我们使用了非饱和神经元并对卷积操作进行了非常有效的GPU实现。

The case study mentioned below uses deep learning to solve the problem, specifically convolution recurrent neural network along with Mel Frequency Extraction.
下面的案例研究利用深度学习来解决这个问题，特别是卷积递归神经网络和MEL频率提取。

Then, the Convolution of the 5 x 5 image and the 3 x 3 matrix can be computed as shown in the animation in Figure 5 below.
接下来，5x5的图像和3x3的矩阵的卷积可以按下图所示的动画一样计算：.

Depthwise separable convolution- first step: Instead of using a single filter of size 3 x 3 x 3 in 2D convolution, we used 3 kernels, separately.
深度可分卷积-第一步：我们分别使用3个内核，而不是在2D卷积中使用大小为3x3x3的单个滤波器。

The general arithmetic for transposed convolution can be found from Relationship 13 and Relationship 14 in this excellent article(“A guide to convolution arithmetic for deep learning”).
转置卷积的通用算法可以在《深度学习的卷积算法指南》「Aguidetoconvolutionarithmeticfordeeplearning」这篇文章的「Relationship13」和「Relationship14」章节中找到。

Viterbi, University of Southern California, for the development of the maximum-likelihood algorithm for convolution coding, and for fundamental contributions to wireless technology.
Viterbi，他开发出了卷积码编码（convolutioncoding）的最大似然算法（maximum-likelihoodalgorighm），并且为无线技术做出了基础性贡献。

This is precisely the convolution of u with the tempered distribution pp. v. 1/πt(due to Schwartz(1950); see Pandey(1996, Chapter 3)).
这就是u与缓增分布pp.v.1/πt的卷积（由于Schwartz(1950)；参见Pandey(1996，Chapter3)）。

These feature spaces, called key f(x), value h(x), and query g(x), are created by passing the original feature map through three different 1x1 convolution maps.
这些特征空间（分别是keyf(x)、valueh(x)和queryg(x)）通过使用三个1X1的卷积图来传递原始特征图而生成。

Let's move on to talk about how to handle the convolution in the other two directions(height& width), as well as important convolution arithmetic.
接下来评论一下怎样处理在其他两个方向（高&宽）中的卷积，以及重要的卷积算法（convolutionarithmetic）。

Convolution and transfer matrix descriptions.
卷积和转移矩阵描述。