TensorFlow
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
Machine learning education - 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.
MLSysBook.AI: Principles and Practices of Machine Learning …
Nov 19, 2024 · MLSysBook.ai explores key ML systems engineering concepts and how TensorFlow tools support each stage of the machine learning life cycle.
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.
Magenta
An open source research project exploring the role of machine learning as a tool in the creative process.
A Neural Network Playground
It’s a technique for building a computer program that learns from data. It is based very loosely on how we think the human brain works. First, a collection of software “neurons” are created and connected together, allowing them to send messages to each other.
Why TensorFlow
TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. 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.
Tutorials | TensorFlow Core
Sep 19, 2023 · 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.
AI and Machine Learning @ I/O Recap — The TensorFlow Blog
May 10, 2023 · This year at Google I/O, we highlighted how we are helping developers like you build with generative AI, use machine learning in spreadsheets and applications, create ML models from the ground up, and scale them up to serve millions of users.
AI and Machine Learning @ I/O Recap — The TensorFlow Blog
May 12, 2022 · If you want to build better mobile apps with AI and Machine Learning, you probably need to understand the ins and outs of getting models to execute on Android or iOS devices, including shrinking them and optimizing them to be power friendly.
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