Model structure of CNN_L11_narrow.
收藏Figshare2025-03-26 更新2026-04-28 收录
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CNN_L11_narrow consists of 11 layers with a narrow configuration. The model employs a learning rate of 0.0001. The narrower architecture is designed to focus on extracting detailed features through multiple convolutional layers, allowing the model to capture subtle patterns in the data. #features stands for the number of input features. For instance, if the embedding method used is One-Hot, the #feature=21. (XLSX)
创建时间：
2025-03-26
