TensorFlow is an open-source software library for dataflow programming across a range of tasks. It is widely used for machine learning and deep learning applications. Below is a brief overview of TensorFlow documentation.

Getting Started

Core Concepts

  • Tensors: The basic building block of TensorFlow.
  • Graphs: A series of nodes and edges that represent computations.
  • Sessions: Execute the computations defined in the graph.

Libraries

  • TensorFlow Core: The core library for building and training ML models.
  • TensorFlow Extended (TFX): An end-to-end platform for deploying ML pipelines.
  • TensorFlow Lite: For mobile and embedded devices.

Resources

Community

Join the TensorFlow community to learn, share, and collaborate with others.

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