Model structure of CNN_L12_narrow.
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https://figshare.com/articles/dataset/Model_structure_of_CNN_L12_narrow_/28672152
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This table outlines the structure of CNN_L12_narrow, a variant with an additional convolutional layer compared to CNN_L11_narrow. This model also uses a learning rate of 0.0001, aiming to further refine feature extraction for a larger dataset through increased depth, potentially capturing more complex hierarchical features. #features stands for the number of input features. For instance, if the embedding method used is One-Hot, the #feature=21.
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创建时间：
2025-03-26
