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  /external/opencv/ml/src/
mlcnn.cpp 34 // loss of use, data, or profits; or business interruption) however caused
253 float loss, max_loss = 0;
259 // Find the worst image (which produces the greatest loss) or use the random image
272 loss = (float)cvNorm( dE_dX[n_layers], &etalon );
273 if( loss > max_loss )
275 max_loss = loss;
331 float loss, min_loss = FLT_MAX;
366 loss = (float)cvNorm( X[n_layers], &etalon );
367 if( loss < min_loss )
369 min_loss = loss;
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