卷积特征提取
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== 概述 == | == 概述 == | ||
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在接下来的章节里,我们会更进一步描述如何把这些特征汇总到一起以得到一些更利于分类的特征。 | 在接下来的章节里,我们会更进一步描述如何把这些特征汇总到一起以得到一些更利于分类的特征。 | ||
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+ | ==中英文对照== | ||
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+ | :全联通网络 Full Connected Networks | ||
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+ | :稀疏编码 Sparse Autoencoder | ||
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+ | :前向输送 Feedforward | ||
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+ | :反向传播 Backpropagation | ||
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+ | :部分联通网络 Locally Connected Networks | ||
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+ | :连接区域 Contiguous Groups | ||
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+ | :视觉皮层 Visual Cortex | ||
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+ | :卷积 Convolution | ||
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+ | :固有特征 Stationary | ||
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+ | :池化 Pool | ||
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孔德硕 (tobluestone@gmail.com),郭亮(guoliang2248@gmail.com), 晓风(xiaofeng.zhb@alibaba-inc.com) | 孔德硕 (tobluestone@gmail.com),郭亮(guoliang2248@gmail.com), 晓风(xiaofeng.zhb@alibaba-inc.com) | ||
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+ | {{处理大型图像}} | ||
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+ | {{Languages|Feature_extraction_using_convolution|English}} |