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  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. 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 …

  3. 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.

  4. 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.

  5. 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 …

  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. 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 …

  8. Basic text classification - TensorFlow Core

    Aug 31, 2024 · This tutorial demonstrates text classification starting from plain text files stored on disk. You'll train a binary classifier to perform sentiment analysis on an IMDB dataset.

  9. TensorFlow Recommenders: Quickstart

    May 27, 2023 · In this tutorial, we build a simple matrix factorization model using the MovieLens 100K dataset with TFRS. We can use this model to recommend movies for a given user.

  10. 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.