The Collaboration on the Theoretical Foundations of Deep Learning aims to understand the mathematical mechanisms that underpin the practical success of deep learning, use this understanding to elucidate the limitations of current methods and extend them beyond the domains where they are currently applicable, and initiate the study of the mathematical problems that emerge.