Making Sense of Hidden Layer Information in Deep Networks by Learning Hierarchical Targets

3 May 2015Abhinav Tushar

This paper proposes an architecture for deep neural networks with hidden layer branches that learn targets of lower hierarchy than final layer targets. The branches provide a channel for enforcing useful information in hidden layer which helps in attaining better accuracy, both for the final layer and hidden layers... (read more)

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