What is models?

The TensorFlow Model Garden is a curated library of pre-built machine learning models. Instead of writing complex AI code from scratch, developers can grab a working, state-of-the-art model and immediately adapt it for their own projects. The repository is organized into two main categories. The first is a collection of official, fully supported examples built with modern tools. These are designed to be fast but still easy to read, making them reliable foundations for building real products. The second category contains experimental models shared by researchers. These are more cutting-edge but come with less ongoing support, as they depend on individual researchers to maintain them. This resource is ideal for startups, product managers, and developers who want to add advanced machine learning capabilities, like image recognition or natural language processing, without building the underlying math from the ground up. For example, a founder building an app that categorizes photos could use a model from this collection to handle the heavy lifting, saving weeks of development time. A notable aspect of this project is its emphasis on demonstrating best practices. It serves as both a toolbox and a teaching resource, showing how to properly structure and optimize machine learning code. Anyone building with TensorFlow can use it to learn the right way to implement AI in their products.