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TBD on what level, but suggest how can DNN be used to select the best permutation & sampling size to fit the best for a particular task.
Also, answer the question if there is a Perfect training - where are we loosing on accuracy, and what/where more degrees of freedom are needed.
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TBD on what level, but suggest how can DNN be used to select the best permutation & sampling size to fit the best for a particular task.
Also, answer the question if there is a Perfect training - where are we loosing on accuracy, and what/where more degrees of freedom are needed.
The text was updated successfully, but these errors were encountered: