Original paper
A novel MapReduce-based deep convolutional neural network algorithm
Volume: 41, Issue: 2, Pages: 2603 - 2615
Published: Sep 15, 2021
Abstract
Deep convolutional neural networks (DCNNs), with their complex network structure and powerful feature learning and feature expression capabilities, have been remarkable successes in many large-scale recognition tasks. However, with the expectation of memory overhead and response time, along with the increasing scale of data, DCNN faces three non-rival challenges in a big data environment: excessive network parameters, slow convergence, and...
Paper Details
Title
A novel MapReduce-based deep convolutional neural network algorithm
Published Date
Sep 15, 2021
Volume
41
Issue
2
Pages
2603 - 2615
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