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

这通常是用一种经典的名为卷积神经网络的机器学技术完成的。

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

研究中使用了三维卷积神经网络。

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

这一堆海量的信息需要卷积神经网络来处理。

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

作者引用了一种经典的学算法，即使用一个卷积神经网络。

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

这种将应用于像素块的作称为卷积。

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

今天，最热门的新算法是卷积神经网络。

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

这听起来应该有点耳熟，因为它很像卷积。

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

此外，采用了可离深度卷积块，以增强对象特征信息并减少模型计算量。

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，比如 LSTMs、卷积码和神经元也包括在，还有扩展的矩阵数学作。

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

然而，这并不是传统的卷积神经网络算法，因为正如我们曾提到的，它的输入是2D，输出是3D。

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

该面积几乎但不完全是 s 处卷积的值。

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

例如，卷积神经网络已被用于对无人机图像进行特征提取和类，取得了良好的识别效果。

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，经由一个深卷积神经网络来训练。

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

深度学模型， 例如卷积神经网络（CNN），在处理图像数据方面表现出了强大的能力。

But not this time, because here, super effective descriptors are proposed automatically via a learning algorithm, a convolutional neural network and siamese networks.

但是这次不一样了，因为通过一种学算法、卷积神经网络和 siamese 网络，而自动生成了超级有效的描述符。

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的方法来可视化这个卷积运算的真正含义。

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

我们想要计算的本质是这个函数的两个副本之间的卷积是什么样子的。

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

卷积神经网络在蚕茧性别与品种同步检测中的应用[J]。

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积运算堆栈形成的大感受野建模。

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的神经元层处理，允许在卷积上进行卷积。