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linkedin.com
Real-Time Network Anomaly Detection with LSTM Autoencoder | Umar Faraz posted on the topic | LinkedIn
Built a Real-Time Network Anomaly Detection Dashboard from Scratch.Excited to share NetPulse — a production-ready ML system that detects network anomalies in real-time using deep learning.🧠 The ML Core:Trained an LSTM Autoencoder (unsupervised) on normal network traffic patterns. The model learns what "normal" looks like — then flags ...
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