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Found 5 papers, 3 papers with code
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms
Many Internet-of-Things (IoT) applications demand fast and accurate understanding of a few key events in their surrounding environment.
A Data-Driven Approach to Pre-Operative Evaluation of Lung Cancer Patients
Consequently, a subset of such patients is asked to undergo standard pulmonary function tests, such as cardiopulmonary exercise tests (CPET) or stair climbs, to have their pulmonary function evaluated.
Fast and Energy-Efficient CNN Inference on IoT Devices
Convolutional Neural Networks (CNNs) exhibit remarkable performance in various machine learning tasks.
Hardware-oriented Approximation of Convolutional Neural Networks
One of the most important steps in accelerator development is hardware-oriented model approximation.
CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android
Many mobile applications running on smartphones and wearable devices would potentially benefit from the accuracy and scalability of deep CNN-based machine learning algorithms.
