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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.

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comparing CNN vs other classification methods

I working on a classification problem. I have created Python code that takes certain labelled input data. This is then converted into two 2 dimensional arrays. … I want to compare how CNN performs vs other classification methods for the problem I am working on. Secondly, do I need to make any data modifications in order to do this. …
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  • 121
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Multiclass classification training data & validation

I am building a CNN based model for multiclass classification. There are close to 200 data points in my training data and there are a total of 30 classes for these 200 data points. …
Sharanbr's user avatar
  • 121