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A subset of the STL10 Dataset (stlSubset.zip)
In all the exercises so far, you have been working only with grayscale images. In this exercise, you will get to work with RGB color images for the first time.
Conveniently, the fact that an image has three color channels (RGB), rather than a single gray channel, presents little difficulty for the sparse autoencoder. You can just combine the intensities from all the color channels for the pixels into one long vector, as if you were working with a grayscale image with 3x the number of pixels as the original image.
2014-12-04
stlSampledPatches
稀疏自编码器包含3层神经元,分别是输入层,隐含层以及输出层。 从前面(神经网络)自编码器描述可知,位于神经网络中的神经元都采用相同的激励函数。 在注解中,我们修改了自编码器定义,使得某些神经元采用不同的激励函数。这样得到的模型更容易应用,而且模型对参数的变化也更为鲁棒。
2014-12-03
Spatiotemporal Saliency Detection Using2
Spatiotemporal Saliency Detection Using
Textural Contrast and Its Applications
2014-08-21
Spatiotemporal Saliency Detection Using
Spatiotemporal Saliency Detection Using
Textural Contrast and Its Applications
2014-08-21
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