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Deep Neural Networks for Image-Based Dietary Assessment
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Locally recurrent globally feedforward networks: a critical review of architectures
IEEE Transactions on Neural Networks
|January 1, 1994
Abstract:
In this paper, we will consider a number of local-recurrent-global-feedforward (LRGF) networks that have been introduced by a number of research groups in the past few years. We first analyze the various architectures, with a view to highlighting their differences. Then we introduce a general LRGF network structure that includes most of the network architectures that have been proposed to date. Finally we will indicate some open issues concerning these types of networks.
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