Overview
Keras is a high-level neural networks API, written in Python and capable of running on top of JAX, PyTorch, or TensorFlow. As of 2026, Keras 3 has established itself as the premier multi-backend deep learning framework, allowing developers to write code once and execute it across the industry's most powerful engines. This 'write once, run anywhere' philosophy solves a critical fragmentation issue in the AI ecosystem. Keras emphasizes developer experience, offering a consistent, simple API that reduces cognitive load during model design. Its architecture is built for speed of experimentation—enabling users to go from idea to result with the least possible delay. Keras is extensively used in both industry and academia, supporting everything from simple convolutional networks to complex generative models like Stable Diffusion and Large Language Models. By leveraging XLA compilation via JAX and TensorFlow, or the native performance of PyTorch, Keras ensures that high-level abstractions do not come at the cost of execution speed. Its ecosystem includes KerasCV and KerasNLP, which provide production-grade, pre-trained components for computer vision and natural language processing tasks, making it a cornerstone for enterprise AI pipelines in 2026.