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Developing a Machine-Learning Algorithm to Diagnose Age-Related Macular Degeneration
Our analysis shows that sample imbalance is a key challenge in training of machine learning models and can result in deceptive improvements in training cost which does not translate to true improvements in model predictive performance.
FPGA Implementation of Simplified Spiking Neural Network
Spiking Neural Networks (SNN) are third-generation Artificial Neural Networks (ANN) which are close to the biological neural system.
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