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
0 likes · 13 min read
