It uses a domain-specific compiler for linear algebra (XLA) to JIT-compile subgraphs of TensorFlow computations (data flow graphs). A version of XLA that supports Google Tensor Processing Units ...

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the ...

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the ...

TensorFlow uses directed graphs internally to represent computations, and they call this data flow graphs (or computational graphs). While nodes in a directed graph can be anything, nodes in a ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. It offers tremendous opportunities for developers building machine learning into ...

At its core, TensorFlow allows you to define and execute computations as a data flow graph, where nodes represent operations and edges represent the data flowing between them. To start building AI ...