Google’s TPUs revolutionize the way data scientists work. Weeklong training times are a thing of the past, and many models can be trained in minutes in a notebook. Agility and fast iterations bring neural networks into regular software development cycles and many developers ramp up on machine learning.

Martin Gorner explores TPUs, then dives deep into the microarchitecture secrets behind them. You’ll learn how to use them in your day-to-day projects to iterate faster. In fact, Martin not only demos the model—he trains the models on stage in real time on TPUs.

Prerequisite knowledge

• Familiarity with TensorFlow and neural networks

What you'll learn

• Learn what TPUs are for and how to use them, the library of reference TPU-optimized models, and RetinaNet on TPU for object detection