Swift for TensorFlow - Machine Learning with No Boundaries
Offered By: try! Swift Conference via YouTube
Course Description
Overview
Explore Swift for TensorFlow, an open-source, cross-platform machine learning framework, in this 24-minute conference talk from try! Swift NYC 2019. Discover the latest features added to S4TF v0.4, upcoming plans from the engineering team, and learn why Swift is uniquely positioned for production deployment of machine learning projects. Gain insights from Paige Bailey, product manager for Swift for TensorFlow and TensorFlow's core Python APIs, as she discusses accuracy improvements, cross-platform capabilities, performance enhancements, collaborations, use cases, and developer tools. Delve into the potential of machine learning with no boundaries and understand how Swift is shaping the future of AI development.
Syllabus
Intro
Accuracy Improvements
Swift for TensorFlow
Crossplatform
Performance
Collaborations
Use Cases
Developer Tools
Outro
Taught by
try! Swift Conference
Related Courses
Game Development for Modern PlatformsMichigan State University via Coursera Introduction to Xamarin.Forms
Microsoft via edX Building R Packages
Johns Hopkins University via Coursera Multiplatform Mobile App Development with NativeScript
The Hong Kong University of Science and Technology via Coursera Build Mobile Applications with SAP Cloud Platform Mobile Services
SAP Learning