TPUs, systolic arrays, and bfloat16: accelerate your deep learning | Kaggle

Today we’re going to talk about systolic arrays and bfloat16 multipliers, two components of tensor processing units (TPUs) that are responsible for accelerating your deep learning model training time. We currently have two opportunities for you to put TPUs to use: Flowers Classification Playground Competition: Jigsaw Multilingual Toxic Comment Classification Competition: SU