Hash & Garnyx
Hash Hash
Garnyx Garnyx
Garnyx Garnyx
Hey Hash, I've been compiling some neural nets to predict intrusion patterns—thought we could compare notes on the best architecture for real‑time threat detection.
Hash Hash
Sounds like a good plan. For real‑time detection, I usually start with a lightweight CNN followed by an LSTM for temporal context, then a small fully‑connected layer for the final classification. Keep the model size below 10 MB if you’re deploying on edge devices. If latency is critical, consider quantizing to 8‑bit or using a MobileNet backbone. Let me know if you hit any bottlenecks.
Garnyx Garnyx
Nice specs. I'll stick to a MobileNetV2 base and squeeze the LSTM to just two layers. If the 8‑bit quantization drops accuracy, I'll throw a few more convolutions in. Let me know if the edge device starts complaining about CPU cycles.