Benign Loss Landscapes in Tree Tensor Networks
This paper provides a theoretical framework for understanding why deep neural networks can learn well despite containing hard-to-learn targets, a key question in machine learning research.
This paper provides a theoretical framework for understanding why deep neural networks can learn well despite containing hard-to-learn targets, a key question in machine learning research.