Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Machine Learning Practical - Coursework 2: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during ...

The project implements a neural network classifier with advanced techniques like batch normalisation, dropout, and gradient clipping to control Pacman's movements based on the game state. This is a ...

Abstract: We present Sandwich Batch Normalization (SaBN), a frustratingly easy improvement of Batch Normalization (BN) with only a few lines of code changes. SaBN is motivated by addressing the ...

Abstract: A well-known issue of Batch Normalization is its significantly reduced effectiveness in the case of small mini-batch sizes. When a mini-batch contains few examples, the statistics upon which ...