Learning Faster without Deeper Networks: A*-Inspired Batch Selection for Efficient CNN Training

Anxhelo Shehu, Enes Stastoli, Arben Cela

Common practice when training Convolutional Neural Networks (CNNs) is to use randomly shuffled mini-batches. This creates two limitations: slower convergence, and a diminishing lea…