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Hyperparameter settings of the novel customized CNN.
Hyperparameter settings of the novel customized CNN.
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NIAID Data Ecosystem
2026-05-10 收录
深度学习超参数优化
卷积神经网络优化
数据链接:
https://figshare.com/articles/dataset/Hyperparameter_settings_of_the_novel_customized_CNN_/30333301
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资源简介:
Hyperparameter settings of the novel customized CNN.
应用场景:
创建时间:
2025-10-10
相关数据集
The number of parameters and computation amount for traditional convolution and spatial separable convolution.
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The number of parameters and computation amount for traditional convolution and spatial separable convolution.
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MOESM1 of Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
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Additional file 1. Raw data used in this project.
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Additional file 11 of ReaGP: integrating residual units and attention mechanisms in convolution neural network for genomic prediction
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Supplementary Material 11
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Effects of different LSKA convolution kernel in NEU-DET Dataset.
工业视觉缺陷检测
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Effects of different LSKA convolution kernel in NEU-DET Dataset.
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Hyperparameter search space table.
深度学习超参数优化
生物序列分类
The best set of parameters is {number of conv filters, Nc: 256, number of units in LSTM Nh: 64, dropout probability for Dropout Layer: 0, learning rate: 0.001} for read-level prediction on 5-fold cros
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