Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"SqueezeNet"”.
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Pruning Convolution Neural Network (SqueezeNet) for Efficient Hardware Deployment
… methods to prune the convolution neural network (SqueezeNet) without introducing network sparsity in the pruned model. This thesis proposes three methods to prune the CNN to decrease the model size of CNN without a significant drop in the accuracy of the model. 1: Pruning based on Taylor expansion …
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Hyperparameter tuning and its effects on deep learning performance and generalization
… a case study of hyperparameter search methods on SqueezeNet v1.0 with refinements added to the training procedure. We show that random search allows for improvement over baseline performance in few trials, achieve around a 2% increase in SqueezeNet accuracy on ImageNet, and provide evidence that …
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Enhancing detection of cervical cancer through deep learning: a comparative study of histological image-based algorithms
… the application of DL models—ResNet50, SqueezeNet, EfficientNet, and a Visual Prompting Model—for classifying cervical cells using histopathological images. I conduct a comparative analysis to evaluate these models based on accuracy, sensitivity, specificity, and interpretability. To …
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Energy-aware DNN Quantization for Processing-In-Memory Architecture
… VGG-19, ResNet-18, ResNet-50, MobileNet-V2, and SqueezeNet. Also, the area, dynamic energy, and energy efficiency in the compressed models with various memory technologies are analyzed. EGQ shows 15%-103% higher energy efficiency with 2% accuracy loss than other PIM-aware quantization algorithms.