Normalization techniques have become integral to the training of deep neural networks, serving to stabilise learning dynamics, accelerate convergence and improve generality. At their core, these ...

A new technical paper titled “LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training” was published by researchers at DGIST (Daegu Gyeongbuk Institute of Science ...