convolving signals
卷积信号
convolving functions
卷积函数
convolving images
卷积图像
convolving data
卷积数据
convolving filters
卷积滤波器
convolving kernels
卷积核
convolving layers
卷积层
convolving outputs
卷积输出
convolving sequences
卷积序列
convolving parameters
卷积参数
convolving the signals helps to reduce noise in the data.
对信号进行卷积有助于减少数据中的噪声。
the algorithm is convolving the image to enhance its features.
该算法正在对图像进行卷积以增强其特征。
we are convolving the input with a kernel to obtain the desired output.
我们正在用一个核对输入进行卷积以获得所需的输出。
convolving different filters can produce a variety of effects.
卷积不同的滤波器可以产生多种效果。
the process of convolving the data is essential in image processing.
对数据进行卷积的过程在图像处理中特别重要。
by convolving with a gaussian filter, we can smooth the image.
通过与高斯滤波器进行卷积，我们可以平滑图像。
convolving the sound waves allows us to analyze their frequency components.
对声波进行卷积使我们能够分析它们的频率成分。
in machine learning, convolving layers are often used in neural networks.
在机器学习中，卷积层通常用于神经网络。
convolving the time series data can reveal underlying trends.
对时间序列数据进行卷积可以揭示潜在的趋势。
they are convolving the datasets to improve the model's accuracy.
他们正在对数据集进行卷积以提高模型的准确性。
convolving signals
卷积信号
convolving functions
卷积函数
convolving images
卷积图像
convolving data
卷积数据
convolving filters
卷积滤波器
convolving kernels
卷积核
convolving layers
卷积层
convolving outputs
卷积输出
convolving sequences
卷积序列
convolving parameters
卷积参数
convolving the signals helps to reduce noise in the data.
对信号进行卷积有助于减少数据中的噪声。
the algorithm is convolving the image to enhance its features.
该算法正在对图像进行卷积以增强其特征。
we are convolving the input with a kernel to obtain the desired output.
我们正在用一个核对输入进行卷积以获得所需的输出。
convolving different filters can produce a variety of effects.
卷积不同的滤波器可以产生多种效果。
the process of convolving the data is essential in image processing.
对数据进行卷积的过程在图像处理中特别重要。
by convolving with a gaussian filter, we can smooth the image.
通过与高斯滤波器进行卷积，我们可以平滑图像。
convolving the sound waves allows us to analyze their frequency components.
对声波进行卷积使我们能够分析它们的频率成分。
in machine learning, convolving layers are often used in neural networks.
在机器学习中，卷积层通常用于神经网络。
convolving the time series data can reveal underlying trends.
对时间序列数据进行卷积可以揭示潜在的趋势。
they are convolving the datasets to improve the model's accuracy.
他们正在对数据集进行卷积以提高模型的准确性。
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