Network Iterative Learning for Dynamic Deep Neural Networks via Morphism

ICLR 2018 Tao WeiChanghu WangChang Wen Chen

In this research, we present a novel learning scheme called network iterative learning for deep neural networks. Different from traditional optimization algorithms that usually optimize directly on a static objective function, we propose in this work to optimize a dynamic objective function in an iterative fashion capable of adapting its function form when being optimized... (read more)

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