
Keras: Deep Learning for humans
Keras is a deep learning API designed for human beings, not machines. Keras focuses on debugging speed, code elegance & conciseness, maintainability, and deployability.
Keras: The high-level API for TensorFlow | TensorFlow Core
Jun 8, 2023 · Keras is the high-level API of the TensorFlow platform. It provides an approachable, highly-productive interface for solving machine learning (ML) problems, with a focus on …
Keras - Wikipedia
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 …
Keras Tutorial - GeeksforGeeks
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 …
GitHub - keras-team/keras: Deep Learning for humans
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, …
What Is Keras? Your 2026 Guide - Coursera
Dec 9, 2025 · Keras is a framework used for research and development within deep learning. You can also use it to create guides for developers and documentation throughout a project.
Getting started with Keras
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 …
Tutorial: Introduction to Keras - Dataquest
Mar 9, 2023 · Keras is a user-friendly API used for building and training neural networks. In this tutorial, we'll cover how to get started using it.
intro_to_keras_for_engineers - Colab
Keras enables you to write custom Layers, Models, Metrics, Losses, and Optimizers that work across TensorFlow, JAX, and PyTorch with the same codebase. Let's take a look at custom …
keras · PyPI
Dec 17, 2025 · 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 …