Abstract
The performance of on-line training is compared with off-line or batch training using an unrealizable learning task. In naive off-line training this task shows a tendency to strong overfitting on the other hand its optimal training scheme is known. In the regime, where overfitting occurs, on-line training outperforms batch training quite easily. Asymptotically, off-line training is better but if the learning rate is chosen carefully on-line training remains competitive.
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