AINeutralarXiv – CS AI · 6h ago6/10
🧠
Evolutionary fine tuning of quantized convolution-based deep learning models
Researchers propose using evolutionary strategies to fine-tune quantized deep learning models, improving accuracy beyond standard nearest-neighbor quantization techniques. The approach selectively adjusts weight values across iterations to find better quantization states, demonstrating effectiveness on VGG, ResNet, and autoencoder architectures for image classification and detection tasks.