A multi-level perceptron neural network made from scratch, using NumPy and SkLearn. Implements backpropagation and utilized on the mnist dataset as a test case. Obtains acc > 97% test accuracy. *Some functions from BU ECE department and imported libraries. (2024-04-21, Python, 0KB, 下载0次)
http://www.pudn.com/Download/item/id/1713668519998242.html
耦合a1
coupled a1 (2022-04-28, Python, 0KB, 下载0次)
这是一款电子邮件SMS垃圾邮件检测应用程序，使用多标称朴素贝叶斯模型进行预测，准确率为97.0%。
This is a Email SMS spam detection app that uses Multinominal Naive Bayes model to make prediction with an accuracy score of 97.0%. (2023-10-11, Python, 0KB, 下载0次)
本项目基于Masure等人的工作([https: github.com LoicMasure ASCADv2Code- Analysis)对ASCADv2-Extracted数据集进行了泄露检测和高阶相关能量分析。](https: github.com LoicMasure ASCADv2Code- Analysis%EF%BC%89%E5%AF%B9ASCADv2-Extracted%E6%95%B0%E6%8D%AE%E9%9B%86%E8%BF%9B%E8%A1%8C%E4%BA%86%E6%B3%84%E9%9C%B2%E6%A3%80%E6%B5%8B%E5%92%8C%E9%AB%98%E9%98%B6%E7%9B%B8%E5%85%B3%E8%83%BD%E9%87%8F%E5%88%86%E6%9E%90%E3%80%82),
Based on the work of Masure et al. ([https: github. com LoicMasure ASCADv2Code - Analysis), this project has carried out leak detection and higher-order correlation energy analysis on the ASCADv2 Extracted dataset.] (https: github.com LoicMasure ASCADV2Code - Analysis% EF% BC% 89% E5% AF% B9ASCADV2-Extracted% E6% 95% B0% E6% 8D% AE% E9% 9B% 86% E8% BF% 9B% E8% A1% 8C% E4% BA% 86% E6% B3% 84% E9% 9C% B2% E6% A3% 80% E6% B5% 8B% E5% 92% 8C% E9% AB% 98% E9% 98% B6% E7% 9B% B 8% E5% 85% B3% E8% 83% BD% E9% 87% 8F% E5% 88% 86% E6% 9E% 90% E3% 80% 82), (2023-09-30, Python, 0KB, 下载0次)
计算机科学12-A1项目
Computer Science 12 - A1 Project (2017-10-21, Python, 0KB, 下载0次)
AAAI2022 安全AI挑战者计划第八期:Data-Centric Robust Learning on ML Models 0.97+方案之一
AAAI2022 Security AI Challenger Plan Phase VIII: Data Centric Robust Learning on ML Models 0.97+Solution (2022-01-24, Python, 32KB, 下载0次)
剩余注意力网络，剩余注意力网络的一个重要实现。cifar上的最佳acc为10-97.78%。
ResidualAttentionNetwork,A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%. (2019-06-12, Python, 45468KB, 下载0次)
gen efficientnet pytorch、预训练efficientnet、efficientnet-Lite、MixNet、MobileNetV3 V2、MNASNet A1和B1、FBNet、单路径NAS
gen-efficientnet-pytorch,Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 V2, MNASNet A1 and B1, FBNet, Single-Path NAS (2022-07-01, Python, 65KB, 下载0次)
BP神经网络模型及其在sklearn的iris数据集上的训练结果（样本太少，导致训练准确率只有97%）
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BP_ NN, BP neural network models and their training results on the iris dataset of sklearn (with too few samples, resulting in a training accuracy of only 97%), (2018-05-21, Python, 12KB, 下载0次)