de-kerneled corn
去籽玉米
being de-kerneled
正在去籽
de-kerneled product
去籽產品
fully de-kerneled
完全去籽
de-kerneled kernels
去籽玉米粒
de-kerneled quickly
快速去籽
de-kerneled sample
去籽樣本
de-kerneled state
去籽狀態
de-kerneled batch
去籽批次
de-kerneled efficiently
高效去籽
the de-kerneled data revealed a surprising pattern in user behavior.
去核的數據揭示了用戶行為中令人驚訝的模式。
we used de-kerneled images to improve the accuracy of our model.
我們使用去核的圖像來提高模型的準確性。
de-kerneled signals allowed for a clearer analysis of the noise.
去核的信號允許對雜訊進行更清晰的分析。
the de-kerneled network demonstrated improved performance on the test set.
去核的網絡在測試集上表現出改進的性能。
after de-kerneling, the data was easier to process and analyze.
去核後，數據更容易處理和分析。
the researchers opted to de-kernel the data before feature extraction.
研究人員選擇在特徵提取之前對數據進行去核。
de-kerneled features significantly reduced the dimensionality of the dataset.
去核的特徵顯著降低了數據集的維度。
we compared the results of the de-kerneled and non-de-kerneled approaches.
我們比較了去核和未去核方法的結果。
the de-kerneled representation captured subtle nuances in the data.
去核的表示方式捕捉了數據中的細微差異。
de-kerneled audio signals were used for speech recognition tasks.
去核的音訊信號用於語音識別任務。
the process of de-kerneling the data was computationally intensive.
對數據進行去核的過程計算量很大。
de-kerneled corn
去籽玉米
being de-kerneled
正在去籽
de-kerneled product
去籽產品
fully de-kerneled
完全去籽
de-kerneled kernels
去籽玉米粒
de-kerneled quickly
快速去籽
de-kerneled sample
去籽樣本
de-kerneled state
去籽狀態
de-kerneled batch
去籽批次
de-kerneled efficiently
高效去籽
the de-kerneled data revealed a surprising pattern in user behavior.
去核的數據揭示了用戶行為中令人驚訝的模式。
we used de-kerneled images to improve the accuracy of our model.
我們使用去核的圖像來提高模型的準確性。
de-kerneled signals allowed for a clearer analysis of the noise.
去核的信號允許對雜訊進行更清晰的分析。
the de-kerneled network demonstrated improved performance on the test set.
去核的網絡在測試集上表現出改進的性能。
after de-kerneling, the data was easier to process and analyze.
去核後，數據更容易處理和分析。
the researchers opted to de-kernel the data before feature extraction.
研究人員選擇在特徵提取之前對數據進行去核。
de-kerneled features significantly reduced the dimensionality of the dataset.
去核的特徵顯著降低了數據集的維度。
we compared the results of the de-kerneled and non-de-kerneled approaches.
我們比較了去核和未去核方法的結果。
the de-kerneled representation captured subtle nuances in the data.
去核的表示方式捕捉了數據中的細微差異。
de-kerneled audio signals were used for speech recognition tasks.
去核的音訊信號用於語音識別任務。
the process of de-kerneling the data was computationally intensive.
對數據進行去核的過程計算量很大。
Explore frequently searched vocabulary
Want to learn vocabulary more efficiently? Download the DictoGo app and enjoy more vocabulary memorization and review features!
Download DictoGo Now