Code and Original_data

NIAID Data Ecosystem2026-03-12 收录

海洋目标检测

深度学习优化

数据链接：

https://zenodo.org/record/5055162 数据链接链接失效反馈

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资源简介：

Code and Original_data of manuscript "AdaRW Training Optimization Algorithm for Deep Learning Model of Marine Target Detection Based on SAR"

创建时间：

2021-07-01

LSTM and CNN Parameter Tuning results

深度学习优化

乒乓球训练

The published data are part of the virtual-coach Table Tennis shadow-play training system developing results. Two deep models (LSTM and 2DCNN) were trained and tested based on the self-collected Table

DataCite Commons2025-05-01 更新170

Relation between CNN accuracy and number of samples.

深度学习优化

样本分析

Relation between CNN accuracy and number of samples.

NIAID Data Ecosystem70

MATHEMATICAL ANALYSIS OF CONVERGENCE FOR OPTIMIZATION ALGORITHMS IN NEURAL NETWORK TRAINING.

深度学习优化

算法收敛分析

This paper presents a rigorous mathematical analysis of the convergence properties of key optimization algorithms used in neural network training. The study investigates the dynamics of Gradient Desce

DataCite Commons2026-05-06 更新30

Additional file 5 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

生物序列特征识别

深度学习优化

Additional file 5. Title of data: Accuracies of models with different parameters in SCW. Description of data: We tested performance of models with various parameters (filter number, kernel size and ma

Figshare2022-03-16 更新80

Classification report of Enhanced DenseNet.

脑肿瘤分类

深度学习优化

Brain tumors pose significant global health concerns due to their high mortality rates and limited treatment options. These tumors, arising from abnormal cell growth within the brain, exhibits various

NIAID Data Ecosystem30

Code and Original_data

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