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

A 3-part series that explores both training and executing machine learned models with TensorFlow.js, and shows you how to create a machine learning model in JavaScript that …

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 …

In this online course developed by the TensorFlow team and Udacity, you'll learn how to build deep learning applications with TensorFlow.

For a more detailed introduction to neural networks, Michael Nielsen’s Neural Networks and Deep Learning is a good place to start. For a more technical overview, try Deep Learning by Ian …

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.

Demonstrate your level of proficiency in using TensorFlow to solve deep learning and ML problems by passing the TensorFlow Certificate program.

Aug 16, 2024 · This tutorial focuses on the task of image segmentation, using a modified U-Net. What is image segmentation? In an image classification task, the network assigns a label (or …

Aug 16, 2024 · It's okay if you don't understand all the details; this is a fast-paced overview of a complete TensorFlow program with the details explained as you go. This guide uses tf.keras, a …

A tool for code-free probing of machine learning models, useful for model understanding, debugging, and fairness. Available in TensorBoard and jupyter or colab notebooks.