Deeper neural nets often yield harder optimization problems.
Reza Zadeh is an Adjunct Professor at Stanford University, and Founder and CEO at Matroid. His work focuses on machine learning, distributed computing, and discrete applied mathematics. He has served on the Technical Advisory Board of Microsoft and Databricks.
The FusionNet deep learning architecture tackles three-dimensional objects with underlying architectures that “think” in three dimensions.