TensorFlow Lite: Beginner to expert
Who is this presentation for?
- App developers, software developers, and business and technical decision makers
Learn how to start with a TensorFlow model, convert it to a TensorFlow Lite format, and then deploy it with TensorFlow Lite.
Andrew Selle walks you through the standard conversion path, then provides insight into the delegation API system and performance improvements, including benchmark and validation tooling. You’ll also take a look at quantization techniques.
- A basic understanding of TensorFlow
What you'll learn
- Understand how TensorFlow Lite enables on-device ML inference with low latency, high performance, and a small binary size
Andrew Selle is a senior staff software engineer for TensorFlow Lite at Google and is one of its initial architects. He’s also worked on improvements to the core and API of TensorFlow. Previously, he worked extensively in research and development of highly parallel numerical physical simulation techniques for physical phenomena for film and physically based rendering. He worked on several Walt Disney Animation Films including Frozen and Zootopia. He holds a PhD in computer science from Stanford University.
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