Bring the power of machine learning to apps and workflows.

Leverage AI to solve real-world problems

Find solutions to accelerate machine learning tasks at every stage of your workflow.
Choose your own learning path by exploring TensorFlow's curated curriculum and extensive resource library.
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Tools and APIs to make easy, safe, and scalable AI applications using Google's large language models.
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Train and deploy your own large language model (LLM) on Android using this toolkit.
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Learn how to build and improve on a neural network that can recognize images of clothing.
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Open source cross-platform machine learning solutions that can be customized and deployed in just a few lines of code.
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Search and discover hundreds of trained, ready-to-deploy machine learning models in one place.
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Easy to learn and simple APIs running on top of the TensorFlow machine learning platform.
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ML tools optimized for high performance, on-device machine learning across Android and iOS devices, embedded Linux, and microcontrollers.
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Train and deploy ML models in the web browser and in Node.js.
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Manage a production pipeline with best practices for data automation, model tracking, performance monitoring, and model retraining.
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What’s new in AI
Tools and resources for creating, training, deploying, and managing ML at scale, on-device, on-prem, and in the cloud.

Solve for additional use cases

Discover more resources across Google's suite of developer technologies.
Develop for a range of audiences and form factors.
Create fast, secure sites and apps for the open web.
Simplify and scale end-to-end development.