Machine learning education - TensorFlow
To become an expert in machine learning, you first need a strong foundation in four learning areas: coding, math, ML theory, and how to build your own ML project from start to finish. Begin with TensorFlow's curated curriculums to improve these four skills, or choose your own learning path by exploring our resource library below.
TensorFlow
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
Tutorials | TensorFlow Core
2023年9月19日 · An open source machine learning library for research and production. Complete, end-to-end examples to learn how to use TensorFlow for ML beginners and experts. Try tutorials in Google Colab - no setup required.
Introduction to TensorFlow
TensorFlow is easier to use with a basic understanding of machine learning principles and core concepts. Learn and apply fundamental machine learning practices to develop your skills.
Basics of machine learning - TensorFlow
TensorFlow 2.0 is designed to make building neural networks for machine learning easy, which is why TensorFlow 2.0 uses an API called Keras. The book Deep Learning with Python by Francois Chollet, creator of Keras, is a great place to get started. Read chapters 1-4 to understand the fundamentals of ML from a programmer's perspective.
Theoretical and Advanced Machine Learning - TensorFlow
In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects and build a career in AI. You will master not only the theory, but also see how it is applied in industry.
Why TensorFlow
Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy. If you need more flexibility, eager execution allows for immediate iteration and intuitive debugging.
TensorFlow 2 quickstart for beginners
2024年8月16日 · Build a neural network machine learning model that classifies images. Train this neural network. Evaluate the accuracy of the model. This tutorial is a Google Colaboratory notebook. Python programs are run directly in the browser—a great way …
MLSysBook.AI: Principles and Practices of Machine Learning …
2024年11月19日 · MLSysBook.ai explores key ML systems engineering concepts and how TensorFlow tools support each stage of the machine learning life cycle.
Apprentissage du machine learning - TensorFlow
Pour devenir un expert du machine learning, vous devez d'abord acquérir des bases solides dans quatre domaines d'apprentissage : le codage, les mathématiques, l'étude théorique du machine learning et la création de projets de ML.