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Comparison of different optimizers on ED-DenseNet.
Comparison of different optimizers on ED-DenseNet.
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Figshare
2025-06-24 更新
2026-04-28 收录
深度学习评估
神经网络性能比较
数据链接:
https://figshare.com/articles/dataset/Comparison_of_different_optimizers_on_ED-DenseNet_/29394315
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资源简介:
Comparison of different optimizers on ED-DenseNet.
应用场景:
创建时间:
2025-06-24
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The best FC learning optimizer for each combination method and its average classification performance (using Accuracy metric).
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IoU and HD of UNets family when the optimizer is set as Adagrad. The best-performing results are highlighted using bold font.
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Performance of hybrid CNN-LSTM model with various feature selection techniques.
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Comprehensive performance comparison of deep learning algorithms for classification.
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Per-class evaluation metrics across Stratified k-folds for DenseNet201 model on test dataset.
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Per-class evaluation metrics across Stratified k-folds for DenseNet201 model on test dataset.
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