Explore Swift for TensorFlow, a cutting-edge platform for machine learning, in this 28-minute Google I/O'19 conference talk. Discover how this innovative technology integrates deep neural networks with traditional software development through first-class differentiable programming. Learn why Jeremy Howard's fast.ai chose Swift for TensorFlow for their latest deep learning course and gain insights into its potential to simplify advanced machine learning research. Delve into topics such as Google Collab integration, differentiation techniques, performance optimization, and future developments as presented by speakers James Bradbury and Richard Wei.
Overview
Syllabus
Intro
Google Collab
Differentiation
Performance
Future
Taught by
TensorFlow
