Ph.D. Thesis Defense
Annenberg 121
Deep Learning in Unconventional Domains: Applications to Databases and Tabular Data
Michael (Milan) Cvitkovic,
Computing and Mathematical Sciences,
Caltech,
Deep learning progress has been concentrated in the domains of computer vision, vision-based reinforcement learning, and natural language processing. This thesis defense will present work on adapting deep learning to new domains. The focus will be on new deep learning methods for relational databases and tabular data.
For more information, please contact Maria Lopez by email at [email protected].
Event Series
Thesis Seminar