CNN

A Runtime Switchable Multi-Phase Convolutional Neural Network for Resource-Constrained Systems
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A GPU Architecture Aware Fine-Grain Pruning Technique for Deep Neural Networks
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Cite DOI Springer
Communication Failure Resilient Distributed Neural Network for Edge Devices
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Optimal Partitioning of Distributed Neural Networks for Various Communication Environments
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Improvement of CNN-Based Road Extraction from Satellite Images via Morphological Image Processing
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Automatic Convolution Neural Network Model Compression Framework for Resource-Constrained Embedded Systems
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A SIMD-aware pruning technique for convolutional neural networks with multi-sparsity levels: Work-in-Progress
Designs of electronic systems often require considering multiple design concerns. In this paper, we propose a novel multi-phase pruning …
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