#
squeeznet
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in this project we used image processing Technique to classify 9 class malwares our final goal is to reach an appropriate model with high accuracy and small size and computational cost
distributed-systems
machine-learning
cloud
deep-learning
pipeline
malware
image-processing
ml
embedded-systems
transformer
cloud-computing
resnet
dl
smote
malware-detection
mobilenetv2
squeeznet
malware-classification
mobilevit
cloudhierarchicaldnn
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Updated
Apr 14, 2024 - Jupyter Notebook
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