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Hanan Shteingart
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גאנג הו! הסטארטאפ גונג איי.או (Gong.io) קוצר שבחים

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tip for a rookie: I have a multivariate time series tens of dimensions over hundreds thousand time samples (e.g. 20x300,000). What would be the best practice to get deep features out of this? which tool should I use (I use Python or Matlab). I saw in NG paper on audio signal that they did preprocessing of spectogram and PCA. Is this necessary?  I though the all idea behind CDBN (convolution deep belief networks) is learning the features by itself. 
Thanks a lot !!!!
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