A representation learning algorithm can discover a good set of features for a simple task in minutes, or a complex task in hours to months.
一个表达学习算法可以再几分钟内为一个简单的任务学习一个很好的特征集合，对于复杂的任务，时间可能是几个小时到几个月。
Complex features can be activated or de-activated by means of pre-set feature sets or manually.
复杂的功能可以被激活或通过预置功能集或手动方式取消。
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