A Distributed Deep Representation Learning Model for Big Image Data Classification

2 Jul 2016Le DongNa LvQianni ZhangShanshan XieLing HeMengdie Mao

This paper describes an effective and efficient image classification framework nominated distributed deep representation learning model (DDRL). The aim is to strike the balance between the computational intensive deep learning approaches (tuned parameters) which are intended for distributed computing, and the approaches that focused on the designed parameters but often limited by sequential computing and cannot scale up... (read more)

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