Keras is a deep learning API designed for human beings, not machines. Keras focuses on debugging speed, code elegance & conciseness, maintainability, and deployability.

Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library, and later …

Jun 8, 2023 · With Keras, you have full access to the scalability and cross-platform capabilities of TensorFlow. You can run Keras on a TPU Pod or large clusters of GPUs, and you can export …

Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, PyTorch, and OpenVINO (for inference-only). Effortlessly build and train models for computer vision, …

Aug 21, 2025 · Keras 3 is intended to work as a drop-in replacement for tf.keras (when using the TensorFlow backend). Just take your existing tf.keras code, make sure that your calls to …

Jul 23, 2025 · Keras is a high-level neural networks API designed to simplify the process of building and training deep learning models. It’s built on top of powerful frameworks like …

Read our Keras developer guides. Are you looking for tutorials showing Keras in action across a wide range of use cases? See the Keras code examples: over 150 well-explained notebooks …

Mar 9, 2023 · Keras is a high-level, user-friendly API used for building and training neural networks. It is an open-source library built in Python that runs on top of TensorFlow. It was …

May 6, 2025 · Keras simplifies deep learning and makes it more accessible with user-friendly features and powerful performance. Explore what it’s used for and learn about some of its …

New examples are added via Pull Requests to the keras.io repository. They must be submitted as a .py file that follows a specific format. They are usually generated from Jupyter notebooks. …