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Step 0: Prepare dataStep 0a: Load dataThe starter code contains code to load a set of natural images and sample 12x12 patches from them. The raw patch... 阅读全文
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Step 0: Load dataThe starter code contains code to load 45 2D data points. When plotted using the scatter function, the results should look like the f... 阅读全文
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The goal of whitening is to make the input less redundant; more formally, our desiderata are that our learning algorithms sees a training input where ... 阅读全文
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http://deeplearning.stanford.edu/wiki/index.php/PCAPrincipal Components Analysis (PCA) is a dimensionality reduction algorithm that can be used to sig... 阅读全文
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PCA：PCA的具有2个功能,一是维数约简（可以加快算法的训练速度，减小内存消耗等），一是数据的可视化。PCA并不是线性回归，因为线性回归是保证得到的函数是y值方面误差最小，而PCA是保证得到的函数到所降的维度上的误差最小。另外线性回归是通过x值来预测y值，而PCA中是将所有的x样本都同等对待。在使... 阅读全文
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In this problem set, you will implement the sparse autoencoder algorithm, and show how it discovers that edges are a good representation for natural i... 阅读全文