This course aims to teach learners about Swift for TensorFlow, an open-source machine learning framework built on top of TensorFlow. The learning outcomes include understanding the features of S4TF v0.4, upcoming engineering plans, and Swift's potential as a production deployment solution for machine learning projects. The course covers topics such as accuracy improvements, cross-platform development, performance considerations, collaborations, use cases, and developer tools. The teaching method involves a 24-minute session led by an expert in the field. The intended audience for this course includes individuals interested in machine learning, Swift programming, and TensorFlow integration.
Overview
Syllabus
Intro
Accuracy Improvements
Swift for TensorFlow
Crossplatform
Performance
Collaborations
Use Cases
Developer Tools
Outro
Taught by
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