On the Implicit Bias in Deep‐Learning Algorithms
Introduction Deep learning has been highly successful in recent years and has led to dramatic improvements in multiple domains. Deep‐learning algorithms often generalize quite well in practice, namely, given access to labeled training data, they return neural networks that correctly label unobserved test data. However, despite much research our theoretical understanding of generalization in deep […]
