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Method for classification of unique/rare cases by reinforcement learning in neural networks
Method for classification of unique/rare cases by reinforcement learning in neural networks
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机译:神经网络中通过强化学习对特例/稀有案例进行分类的方法
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摘要
Some embodiments are directed to a method to reinforce deep neural network learning capacity to classify rare cases, which includes the steps of training a first deep neural network used to classify generic cases of original data into specified labels; localizing discriminative class-specific features within the original data processed through the first deep neural network and mapping the discriminative class-specific features as spatial-probabilistic labels; training a second-deep neural network used to classify rare cases of the original data into the spatial-probabilistic labels; and training a combined deep neural network used to classify both generic and rare cases of the original data into primary combined specified and spatial-probabilistic labels.
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