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CaffeMaster
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Classifying ImageNet: the instant Caffe way
使用预训练的ImageNet模型来分类图片with Python interface
Filter visualization
使用example image抽取每一层的特征并进行可视化
R-CNN detection
使用预训练模型实现RCNN
Off-the-shelf SGD for classification
使用Caffe训练和预测一个基于HDF5数据的 logistic regression 模型
Editing model parameters
How to do net surgery and manually change model parameters, making a fully-convolutional classifier for dense feature extraction.
Siamese network embedding
使用Siamese network进行特征提取和Plotting.