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Explore the next generation machine learning platform Swift for TensorFlow in this 39-minute conference talk from TF World '19. Discover how this innovative technology seamlessly integrates deep neural networks with traditional AI algorithms and general-purpose software development through first-class differentiable programming. Learn how Swift for TensorFlow can enhance and accelerate advanced machine learning research. Gain insights into the reasons behind choosing Swift, its compiler capabilities, deep learning applications, automatic differentiation, and its compatibility with the Python ecosystem. Presented by Paige Bailey and Brennan Saeta, this talk offers a comprehensive overview of Swift for TensorFlow's potential to revolutionize machine learning development.
Syllabus
Introduction
Why Swift
What is Swift
Compiler
Deep Learning
Automatic Differentiation
Python Ecosystem
Taught by
TensorFlow