Aug 15, 2024 · While TensorFlow operations are easily captured by a tf.Graph, Python-specific logic needs to undergo an extra step in order to become part of the graph. tf.function uses a library called …

Oct 25, 2023 · TensorBoard’s Graphs dashboard is a powerful tool for examining your TensorFlow model. You can quickly view a conceptual graph of your model’s structure and ensure it matches …

Feb 22, 2025 · If a given version of TensorFlow supports the GraphDef version of a graph, it will load and evaluate with the same behavior as the TensorFlow version used to generate it (except for …

A tf.Graph can be constructed and used directly without a tf.function, as was required in TensorFlow 1, but this is deprecated and it is recommended to use a tf.function instead.

An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.

Sep 3, 2025 · Install Bazel To build TensorFlow, you will need to install Bazel. Bazelisk is an easy way to install Bazel and automatically downloads the correct Bazel version for TensorFlow. For ease of …

Sep 6, 2024 · The output of the tf.Transform library is exported as a TensorFlow graph that represents the instance-level transformation logic and the statistics computed from full-pass transformations, to …

TensorFlow makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud. See the sections below to get started.

A suite of visualization tools to understand, debug, and optimize TensorFlow programs for ML experimentation.

Jul 25, 2024 · This guide demonstrates how to use the tools available with the TensorFlow Profiler to track the performance of your TensorFlow models. You will learn how to understand how your model …