
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.
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 the top …
Introduction to TensorFlow
TensorFlow Learn the foundations of TensorFlow with tutorials for beginners and experts to help you create your next machine learning project.
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.
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 the top …
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.
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 training …
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.
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), and perform …
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.