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

In this course from MIT, you will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow.

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 executes directly in the …

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 …

Plate-forme Open Source complète dédiée au machine learning pour tous. Découvrez l'écosystème flexible de TensorFlow, composé d'outils, de bibliothèques et de ressources de la communauté.

Introducing Wake Vision: A High-Quality, Large-Scale Dataset for TinyML Computer Vision Applications Updated 5 de diciembre de 2024 MLSysBook.AI: Principles and Practices of Machine Learning …

Découvrez les bases du développement de modèles de machine learning en langage JavaScript et comment déployer ces modèles directement dans le navigateur. Après une présentation générale …

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 …

Uma plataforma completa com código aberto de machine learning para todo mundo. Conheça o ecossistema flexível de ferramentas, bibliotecas e recursos da comunidade do TensorFlow.

TensorFlow makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud.