Apr 23, 2014 · In this paper, we present a distributed learning paradigm for the RBMs and the backpropagation algorithm using MapReduce, a popular parallel ...
Oct 22, 2024 · In this paper, we present a distributed learning paradigm for the RBMs and the backpropagation algorithm using MapReduce, a popular parallel ...
Deep belief nets (DBNs) with stacked restricted Boltzmann machines (RBMs) [1], [2] are one of the most important multiple-layer network architectures in deep ...
This paper presents a distributed learning paradigm for the RBMs and the backpropagation algorithm using MapReduce, a popular parallel programming model, ...
Abstract – Recent years, various applications acquire a great performance due to wide attention of Deep belief nets. (DBNs) with restricted Boltzmann ...
In this research, a modified MapReduce and pruning layer-based classification model using the deep belief network (DBN) and the dataset used as CKD were ...
Oct 9, 2015 · This project is mainly focused on the solution to the issues above, combining deep learning algorithm with cloud computing platform to deal with ...
Missing: Belief | Show results with:Belief
The paper "Large-scale Artificial Neural Network: MapReduce-based Deep Learning" proposes a system for training large-scale artificial neural networks using ...
Missing: Belief | Show results with:Belief
Abstract. Deep Belief Network is an algorithm among deep learning. It is an effective method of solving the problems from neural network with deep layers, ...
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The Deep learning mechanism provides solutions for multiple disciplines that are prone to Big Data problems. MapReduce is a programming paradigm for processing ...