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。

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习技术完成的。

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习算法，即使用一个卷积神经网络。

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。

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，因为通过一种学习算法、卷积神经网络和 siamese 网络，而自动生成了超级有效的描述符。

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。

They did this using something called a deep convolutional neural network and trained it with a dataset containing about 130,000 images.

他们使用一种叫做深度卷积神经网络的东西来做到这一点，并用一个包含大约130,000张图像的数据集来训练它。

Convolutional neural networks aren't required to be many layers deep, but they usually are, in order to recognize complex objects and scenes.

卷积神经网络不需要有很多层，但通常是这样，以便识别复杂的对象和场景。

The very first convolutional layer might find things like edges, as that's what a single convolution can recognize, as we've already discussed.

第一个卷积层可能会找到边缘之类的东西，因为这是单个卷积可以识别的东西，正如我们已经讨论过的那样。

This technique uses a convolutional neural network to accomplish something similar, but in the end, it doesn't give us an image, but a set of convolution kernels.

这项技术用了卷积神经网络以完成类似的东西，但最终它并没有给出一副画面，而是一系列的卷积核心程序。