convolving signals
卷積信號
convolving functions
卷積函數
convolving images
卷積圖像
convolving data
卷積數據
convolving filters
卷積濾波器
convolving kernels
卷積核
convolving layers
卷積層
convolving outputs
卷積輸出
convolving sequences
卷積序列
convolving parameters
卷積參數
convolving the signals helps to reduce noise in the data.
對信號進行卷積有助於減少數據中的噪聲。
the algorithm is convolving the image to enhance its features.
該算法正在對圖像進行卷積以增強其特徵。
we are convolving the input with a kernel to obtain the desired output.
我們正在用一個核對輸入進行卷積以獲得所需的輸出。
convolving different filters can produce a variety of effects.
卷積不同的濾波器可以產生多種效果。
the process of convolving the data is essential in image processing.
對數據進行卷積的過程在圖像處理中特別重要。
by convolving with a gaussian filter, we can smooth the image.
通過與高斯濾波器進行卷積，我們可以平滑圖像。
convolving the sound waves allows us to analyze their frequency components.
對聲波進行卷積使我們能夠分析它們的頻率成分。
in machine learning, convolving layers are often used in neural networks.
在機器學習中，卷積層通常用於神經網絡。
convolving the time series data can reveal underlying trends.
對時間序列數據進行卷積可以揭示潛在的趨勢。
they are convolving the datasets to improve the model's accuracy.
他們正在對數據集進行卷積以提高模型的準確性。
convolving signals
卷積信號
convolving functions
卷積函數
convolving images
卷積圖像
convolving data
卷積數據
convolving filters
卷積濾波器
convolving kernels
卷積核
convolving layers
卷積層
convolving outputs
卷積輸出
convolving sequences
卷積序列
convolving parameters
卷積參數
convolving the signals helps to reduce noise in the data.
對信號進行卷積有助於減少數據中的噪聲。
the algorithm is convolving the image to enhance its features.
該算法正在對圖像進行卷積以增強其特徵。
we are convolving the input with a kernel to obtain the desired output.
我們正在用一個核對輸入進行卷積以獲得所需的輸出。
convolving different filters can produce a variety of effects.
卷積不同的濾波器可以產生多種效果。
the process of convolving the data is essential in image processing.
對數據進行卷積的過程在圖像處理中特別重要。
by convolving with a gaussian filter, we can smooth the image.
通過與高斯濾波器進行卷積，我們可以平滑圖像。
convolving the sound waves allows us to analyze their frequency components.
對聲波進行卷積使我們能夠分析它們的頻率成分。
in machine learning, convolving layers are often used in neural networks.
在機器學習中，卷積層通常用於神經網絡。
convolving the time series data can reveal underlying trends.
對時間序列數據進行卷積可以揭示潛在的趨勢。
they are convolving the datasets to improve the model's accuracy.
他們正在對數據集進行卷積以提高模型的準確性。
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