dhuQChen / Projects
☆24Updated 5 years ago
Related projects: ⓘ
- 谷歌INCEPTION-RESNET-V2迁移学习实现图像二分类判断图像是否生病☆17Updated 6 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆96Updated 5 years ago
- 谷歌INCEPTION-RESNET-V3迁移学习实现图像二分类判断图像是否生病☆16Updated 6 years ago
- 该工程基于Python3.6,tensorflow1.6。主要是对tensorflow框架进行认识,实践和应用,快速掌握tf在深度学习上的使用,包括线性模型,minist数据集分类,Tensorboard,CNN,LSTM,图像识别网络inception-v3,多任务学习以…☆63Updated 4 years ago
- 简单实现VGG16☆57Updated 6 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☆51Updated 6 years ago
- course labratory☆14Updated 5 years ago
- 利用vgg-16/19预训练模型提取图片的特征☆26Updated 5 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆61Updated 5 years ago
- Visualization CNN model by Keras.☆74Updated 5 years ago
- 图像细粒度分类☆12Updated 5 years ago
- keras注意力机制☆16Updated 6 years ago
- cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU)…☆64Updated 6 years ago
- 这个仓库主要包含了LSTM、卷积神经网络中,注意力机制的实现。☆126Updated 3 years ago
- keras融合inception,vgg,residual_net做一个超快的迁移学习模型☆11Updated 6 years ago
- CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0☆74Updated 3 years ago
- Using CNN to recognize the verification code☆33Updated 6 years ago
- 基于PyTorch使用迁移学习完成项目☆56Updated 6 years ago
- Some basic neural network implement by tf2.0☆25Updated last year
- mutil-class focal loss implemented in keras☆159Updated 5 years ago
- For the CIFAR-10 dataset, extracting HOG features and using SVM classifier to classify them, at last, we get the accuracy.☆41Updated 4 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 6 years ago
- 获取图像的LBP特征☆79Updated 9 years ago
- 基于Keras实现Kaggle2013--Dogs vs. Cats12500张猫狗图像的精准分类☆77Updated 5 years ago
- SSD 改进:backbone增加resnet,并针对resnet加入attention机制,为了充分利用细节特征和语义特征,还加入了特征融合模型☆73Updated 3 years ago
- ☆65Updated 6 years ago
- 使用5-6个模型(可以是knn svm 贝叶斯等等)用投票的方式做一个集成学习对MNIST数据集进行分类。☆19Updated 5 years ago
- Simple tensorflow-keras implementation of SKConv in Selective Kernel Networks☆30Updated 3 years ago
- 天池比赛,kaggle等等(Keras/PyTorch实战)☆180Updated 4 years ago
- 支持向量机,Support Vector Machine(SVM),多类分类☆28Updated 7 years ago