About 5,970 results
Open links in new tab
  1. Tutorials | TensorFlow Core

    Sep 19, 2023 · Complete, end-to-end examples to learn how to use TensorFlow for ML beginners and experts. Try tutorials in Google Colab - no setup required.

  2. Introduction to TensorFlow

    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.

  3. TensorFlow 2 quickstart for beginners | TensorFlow Core

    Aug 16, 2024 · Python programs are run directly in the browser—a great way to learn and use TensorFlow. To follow this tutorial, run the notebook in Google Colab by clicking the button at …

  4. TensorFlow 2 quickstart for experts | TensorFlow Core

    Aug 16, 2024 · Python programs are run directly in the browser—a great way to learn and use TensorFlow. To follow this tutorial, run the notebook in Google Colab by clicking the button at …

  5. TensorFlow

    Get 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.

  6. Guide | TensorFlow Core

    Mar 2, 2023 · Learn basic and advanced concepts of TensorFlow such as eager execution, Keras high-level APIs and flexible model building.

  7. Machine learning education | TensorFlow

    Start your TensorFlow training by building a foundation in four learning areas: coding, math, ML theory, and how to build an ML project from start to finish.

  8. Tutorials | TensorFlow Hub

    Dec 17, 2020 · TensorFlow Hub tutorials to help you get started with using and adapting pre-trained machine learning models to your needs.

  9. Convolutional Neural Network (CNN) | TensorFlow Core

    Aug 16, 2024 · This tutorial demonstrates training a simple Convolutional Neural Network (CNN) to classify CIFAR images. Because this tutorial uses the Keras Sequential API, creating and …

  10. Image classification | TensorFlow Core

    Apr 3, 2024 · This tutorial showed how to train a model for image classification, test it, convert it to the TensorFlow Lite format for on-device applications (such as an image classification app), …