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
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.
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.
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.
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.
Why TensorFlow
Machine learning is the practice of helping software perform a task without explicit programming or rules. With traditional computer programming, a programmer specifies rules that the computer should use.
Magenta
Magenta Studio has been upgraded to more seamlessly integrate with Ableton Live. It is a collection of music creativity tools built on Magenta’s open source models, using cutting-edge machine learning techniques for music generation. Read the blog post.
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.
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.
Citing TensorFlow
Jan 21, 2022 · Abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state.