David Yakira

Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design

Formal understanding of the inductive bias behind deep convolutional networks, i.e. the relation between the network's architectural features and the functions it is able to model, is limited. In this work, we establish a fundamental connection between the fields of quantum physics and deep learning…