1.This work uses a 3D convolutional neural network to accomplish this task.

研究中使用了三维卷神网络。

2.There is a huge amount of information that the convolutional neural network has to make sense of.

这一堆海量信息需要卷神网络来处理。

3.This is typically achieved by a classical machine learning technique that we call a convolutional neural network.

这通常是用一种典名为卷神网络机器学习技术完成。

4.The authors of the paper invoke a classical learning algorithm, a convolutional neural network to accomplish that.

作者引用了一种典学习算法，即使用一个卷神网络。

5.This operation, of applying a kernel to a patch of pixels, is call a convolution.

这种将内核应用于像素块操作称为卷。机翻

6.Today, the hot new algorithms on the block are Convolutional Neural Networks.

今天，最热门新算法是卷神网络。机翻

7.This should sound vaguely familiar, because it's a lot like a convolution.

这听起来应该有点耳熟，因为它很像卷。机翻

8.This area is almost but not quite  the value of the convolution at s.

该面几乎但不完全是 s 处卷。机翻

9.Moreover, separable deep convolution blocks were employed to enhance object feature information and reduce model computation.

此外，采用了可分离深度卷块，以增强对象特征信息并减少模型计算量。

10.Machine learning kernels such as LSTMs, convolutions, and neuron layers are included as well as an expanded set of matrix math operations.

机器学习内核，比如 LSTMs、卷码和神元也包括在内，还有扩展矩阵数学操作。

11.These outputs are then processed by subsequent layers of neurons, allowing for convolutions on convolutions on convolutions.

然后这些输出由后续神元层处理，允许在卷上进行卷。机翻

12.This controller operates on a coarse time scale, only twice each second and is trained via a deep convolutional neural network.

它在粗略时间刻度上运作，每秒运作两次，由一个深卷神网络来训练。

13.For example, convolutional neural networks have been used to extract features and classify drone images, achieving good recognition results.

例如，卷神网络已被用于对无人机图像进行特征提取和分类，取得了良好识别效果。机翻

14.However, this is not your classical Convolutional Neural Network, because as we mentioned, the input is 2D and the output is 3D.

然而，这并不是传统卷神网络算法，因为正如我们曾提到，它输入是2D，输出是3D。

15.Deep learning models, such as convolutional neural networks (CNN), have shown great capabilities in processing image data.

深度学习模型， 例如卷神网络（CNN），在处理图像数据方面表现出了强大能力。机翻

16.The  essence of what we want to compute is what the convolution between two  copies of this function looks like.

我们想要计算本质是这个函数两个副本之间卷是什么样子。机翻

17.Convolution Neural Network Application in the Simultaneous Detection of Gender and Variety of Silkworm (Bombyx mori) Cocoons[J].

卷神网络在蚕茧性别与品种同步检测中应用[J]。

18.And we spent a lot of time building up two distinct ways to visualize  what this convolution operation really is.

我们花了很多时间建立两种不同方法来可视化这个卷运算真正含义。机翻

19.In image data, long-distance dependencies are typically modeled by the large receptive fields formed through deep stacks of convolutional operations.

在图像数据中， 长距离依赖性通常由通过深度卷运算堆栈形成大感受野建模。机翻

20.And one thing worth noticing is that as we do this convolution, it's possible to get negative values.

得注意一件事是， 当我们进行卷时，有可能得到负。机翻