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Deep CNN with Linear Support Vector Machines

Deep CNN with Linear Support Vector Machines. 预处理. 对训练集进行 Standardization ，即 对每个像素除以均值再除以方差。. Resize. Standardization. 48×48 Image. 原始图片. 卷积神经网络. 64*10*10. 32*42*42. 3072. 32*21*21. 3072. 32*20*20. 32*10*10. 64*5*5. 3*42*42. Softmax or SVM. Input. S imilarity transformation

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Deep CNN with Linear Support Vector Machines

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  1. Deep CNN with Linear Support Vector Machines

  2. 预处理 对训练集进行Standardization，即 对每个像素除以均值再除以方差。 Resize Standardization 48×48 Image 原始图片

  3. 卷积神经网络 64*10*10 32*42*42 3072 32*21*21 3072 32*20*20 32*10*10 64*5*5 3*42*42 Softmax or SVM Input Similarity transformation layer Two full connected layer Pooling Pooling Convolution Pooling Convolution Convolution 0.2 drop out 这一层是在一定范围内做随机相似变换。

  4. 参考文献 • ImageNet Classification with Deep Convolutional Neural Networks • Deep Learning using Linear Support Vector Machines

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