Systems | Information | Learning | Optimization
 

Deep Learning with Small Datasets: Tips, Tricks, and Cautionary Tales

Many modern applications of deep networks are generative or discriminatory tasks that leverage large datasets and computational power to achieve state-of-the-art results on tasks in important, wide-reaching regimes. However, some applications are more data-constrained. This talk will focus on uses of neural networks in medical imaging and remote sensing, two …