 UFLDL exercise9 Convolution and Pooling 评分:

In this exercise you will use the features you learned on 8x8 patches sampled from images from the STL-10 dataset in the earlier exercise on linear decoders for classifying images from a reduced STL-10 dataset applying convolution and pooling. The reduced STL-10 dataset comprises 64x64 images from 4 classes (airplane, car, cat, d og).
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2016-04-13 上传大小：1.48MB UFLDL教程：Exercise:Convolution and Pooling UFLDL Exercise:Convolution and Pooling UFLDL Exercise: Convolution and Pooling 卷积和池化 立即下载 UFLDL exercise8 Linear Decoder 立即下载 Convolution and LTI system《卷积与线性时不变系统》 立即下载 Runge-Kutta methods for parabolic equations and convolution quadrature .pdf 立即下载 Convolution Theory 立即下载 Convolution neural networks 立即下载 Convolution arithmetic tutorial 立即下载 Active Convolution Learning the Shape of Convolution for Image Classification 立即下载 correlation和convolution 立即下载  max pooling with dropout 立即下载 Savitzky-Golay算法论文（General Least-Squares Smoothing and Differentiation by the Convolution (Savitzky-Golay) Method） 立即下载 matlab code for convolution 立即下载 Convolution filtering 褶积滤波 立即下载 best practice for convolution neural network 立即下载 Invariant Scattering Convolution Networks.pdf 立即下载 Feature Extraction Using Convolution.pdf 立即下载 Convolution Neural Network (CNN) 立即下载 qiusuoxiaozi 热点文章

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