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Using ultraviolet spectrum, fluorescence spectrum and Fourier-transform infrared spectrum, the secondary structure of polyhedrin was studied.

对多角体蛋白进行紫外、荧光、红外光谱分析,并通过去卷积法分析了该蛋白酰胺Ⅰ带。

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This method can avoid the repetition and pretermission of integrating interval (or summarizing interval), especially in the convolution computation of multi-partition function.

法能有效地克积分区间(或求和区间)重复和遗漏问题,特多分段有值函数卷积计算中更显示出其优越性。

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With convolution integral, a new formulation for describing the relation of soft X-ray reflectivity of multilayer with the different energy Monochromaticity of incident light is deduced.

利用数学卷积积分,理论上推导出一个入射光不同单色性下精确计算多层膜反射率公式。

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

研究中使用了三维神经

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两分钟论文

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神经处理。

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两分钟论文

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名为神经机器学习技术完成

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两分钟论文

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学习算法,即使用一个神经

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科技 Crash Course

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操作称为

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科技 Crash Course

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

今天,最热门新算法是神经

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科技 Crash Course

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

这听起应该有点耳熟,因为它很像

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高等数学之美

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

该面几乎但不完全是 s 处值。

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文献阅读

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,以增强对象特征信息并减少模型计算量。

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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、码和神经元也包括在内,还有扩展矩阵数学操作。

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科技 Crash Course

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经元层处理,允许在上进行

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两分钟论文

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,经由一个深神经训练。

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AI智能合成英语作文

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

例如,神经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。

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两分钟论文

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

然而,这并不是传统神经算法,因为正如我们曾提到,它输入是2D,输出是3D。

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AI智能合成英语作文

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

深度学习模型, 例如神经(CNN),在处理图像数据方面表现出了强大能力。

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高等数学之美

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是什么样子

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文献阅读

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

神经在蚕茧性别与品种同步检测中应用[J]。

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高等数学之美

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可视化这个运算真正含义。

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论文文献自用

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运算堆栈形成大感受野建模。

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高等数学之美

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

值得注意一件事是, 当我们进行时,有可能得到负值。

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