psiang / TensorFlow-Deep_Learning_and_Transfer_LearningLinks
用Tensorflow实现深度学习模型和迁移学习模型
☆15Updated 5 years ago
Alternatives and similar repositories for TensorFlow-Deep_Learning_and_Transfer_Learning
Users that are interested in TensorFlow-Deep_Learning_and_Transfer_Learning are comparing it to the libraries listed below
Sorting:
- 使用改良的Transformer模型应用于多维时间序列的分类任务上☆92Updated 4 years ago
- 由于CSDN博客里面不能直接上代码链接,涉嫌营销推广,因此建一个github仓库用于整理这些代码链接☆153Updated 2 years ago
- 这是论文Unsupervised Domain Adaptation by Backpropagation的复现tf2代码,并完成了MNIST与MNIST-M数据集之间的迁移训练☆20Updated 4 years ago
- CNN-BiGRU-Attention模型☆100Updated 3 years ago
- ☆67Updated 5 years ago
- 一维卷积神经网络☆41Updated 6 years ago
- Autoencoders in PyTorch☆102Updated 6 years ago
- 自动编码器及降噪自动编码器☆15Updated 6 years ago
- 集成学习Stacking方法 详解☆77Updated 6 years ago
- 用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型☆59Updated 7 years ago
- 基于SVM的简单机器学习分类,可以使用svm, knn, 朴素贝叶斯,决策树四种机器学习方法进行分类☆123Updated 2 years ago
- 支持向量机,Support Vector Machine(SVM),多类分类☆32Updated 8 years ago
- 粒子群算法优化支持向量机☆143Updated 3 years ago
- here is the introduce of bls☆73Updated 4 years ago
- 机器学习预测模型,分别用逻辑回归,决策树,随机森林,神经网络,XGBOOST和支持向量机算法建模,交叉验证,并选出AUC最优的模型。特征工程优化后,AUC值达到0.8259☆56Updated 5 years ago
- 数据预处理之缺失值处理,特征选择☆22Updated 6 years ago
- CNN-LSTM-attention☆10Updated 4 years ago
- Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM, AdaBoost, Random Forests), deep learning (CNN, LSTM), ensembles…☆13Updated 3 years ago
- ☆10Updated 4 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- 在matlab App Designer中设计了一款航空发动机气路故障智能诊断软件,通过训练航空发动机气路数据,分别实现航空发动机故障判断、故障部件定位和故障模式识别。☆12Updated 3 years ago
- 支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等☆53Updated 8 years ago
- 这是论文Unsupervised Domain Adaptation by Backpropagation的复现代码,并完成了MNIST与MNIST-M数据集迁移,master和tf2分支代码为是基于tf2.x,tf1分支代码基于tf1.x☆64Updated 4 years ago
- 基于波士顿房屋租赁价格数据,使用lasso回归算法做特征选择后,分别使用线性回归、Lasso回归、Ridge回归、Elasitic Net四类回归算法构建模型(分别测试1,2,3阶)☆13Updated 6 years ago
- Include Supervised learning:Logistic Regression、Multilayer perceptron and Deep Convolutional Network .And Unsupervised learning:Auto Enco…☆14Updated 3 months ago
- 常用的特征选择方法☆67Updated 3 years ago
- The introduction and code implementation of the paper "Transfer Feature Learning with Joint Distribution Adaptation"☆12Updated 5 years ago
- 1D CNN for CWRU rolling bearings dataset☆44Updated 7 years ago
- 使用改良的Transformer模型应用于多维时间序列的分类任务上☆11Updated 4 years ago
- 使用改良的Transformer模型应用于多维时间序列的分类任务上☆23Updated 4 years ago