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Deep Learning for Malware Detection by Salton Gerard is a document available to read on EtoBox.

What is Deep Learning for Malware Detection about?

This article reviews the effectiveness of deep learning models in malware detection, analyzing their ability to categorize malware into distinct types. Various models, including RNNs, LSTMs, and CNNs, are evaluated for their strengths and real-world applications, demonstrating high accuracy and low false positive rates. The study aims to enhance understanding of deep learning

Author

Salton Gerard

Language

EN