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Architecture Digest
Architecture Digest
Jan 24, 2017 · Artificial Intelligence

TensorFlow: Large‑Scale Machine Learning on Heterogeneous Distributed Systems – Overview and Implementation

TensorFlow is a dataflow‑based programming model for large‑scale machine learning that uses directed acyclic graphs to represent computations, supports single‑device, multi‑device, and distributed execution with sophisticated node placement, communication, fault‑tolerance, and optimization techniques, and provides tools such as TensorBoard for visualization.

Dataflow GraphParallelismTensorFlow
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TensorFlow: Large‑Scale Machine Learning on Heterogeneous Distributed Systems – Overview and Implementation