TensorFlow
WEBGet started with TensorFlow. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. Explore examples of how TensorFlow is used to advance research and build AI-powered applications. Read the latest announcements from the TensorFlow team and community.
Introduction to TensorFlow
WEBThe TensorFlow platform helps you implement best practices for data automation, model tracking, performance monitoring, and model retraining. Using production-level tools to automate and track model training over the lifetime of a product, service, or business process is critical to success. TFX provides software frameworks and tooling for full ...
Install TensorFlow 2
WEBMar 24, 2023 · Learn how to install TensorFlow on your system. Download a pip package, run in a Docker container, or build from source. Enable the GPU on supported cards.
TensorFlow 2 quickstart for beginners | TensorFlow Core
WEBAug 16, 2024 · TensorFlow 2 quickstart for beginners. This short introduction uses Keras to: Load a prebuilt dataset. Build a neural network machine learning model that classifies images. Train this neural network. Evaluate the accuracy of the model. This tutorial is a Google Colaboratory notebook.
Tutorials - TensorFlow Core
WEBSep 19, 2023 · The TensorFlow tutorials are written as Jupyter notebooks and run directly in Google Colab—a hosted notebook environment that requires no setup. At the top of each tutorial, you'll see a Run in Google Colab button. Click the button to open the notebook and run the code yourself.
Guide | TensorFlow Core
WEBMar 2, 2023 · Guide | TensorFlow Core. TensorFlow 2 focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs, and flexible model building on any platform. Many guides are written as Jupyter notebooks and run directly in Google Colab—a hosted notebook environment that requires no setup.
Install TensorFlow with pip
WEBSep 6, 2024 · python3-c "import tensorflow as tf; print (tf.reduce_sum (tf.random.normal ([1000, 1000])))" . If a tensor is returned, you've installed TensorFlow successfully. Windows Native Caution: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install TensorFlow in WSL2, or install tensorflow-cpu and, optionally, try ...
Machine learning education - TensorFlow
WEBMaster your path. To become an expert in machine learning, you first need a strong foundation in four learning areas: coding, math, ML theory, and how to build your own ML project from start to finish. Begin with TensorFlow's curated curriculums to improve these four skills, or choose your own learning path by exploring our resource library below.
TensorFlow version compatibility | TensorFlow Core
WEBJul 3, 2024 · At least six months later, TensorFlow 2.0.0 could drop support for versions 4 to 7, leaving version 8 only. Note that because major versions of TensorFlow are usually published more than 6 months apart, the guarantees for supported SavedModels detailed above are much stronger than the 6 months guarantee for GraphDefs.
Keras: The high-level API for TensorFlow | TensorFlow Core
WEBJun 8, 2023 · Keras is the high-level API of the TensorFlow platform. It provides an approachable, highly-productive interface for solving machine learning (ML) problems, with a focus on modern deep learning. Keras covers every step of the machine learning workflow, from data processing to hyperparameter tuning to deployment.