Keras Team
To provide a simple, flexible, and powerful deep learning API for humans, enabling fast experimentation and seamless deployment.
At a Glance
- AI Researchers
- ML Engineers
- Data Scientists
- Enterprise Software Developers
- +1 more
AI Tools by Keras Team
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Keras
Multi Backend Deep Learning API
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Latest News
François Chollet leaves Google to start a new company but remains involved with Keras
Announcing Keras 3.0: The multi-backend deep learning framework
Integration of Keras with JAX and PyTorch becomes stable in major releases
KerasHub launched as the successor to KerasNLP and KerasCV
Products & Services
A multi-backend deep learning API that runs on JAX, PyTorch, and TensorFlow.
A library for pre-trained models and modular components for NLP, CV, and more (merging KerasNLP and KerasCV).
A library of natural language processing components.
A library of computer vision components.
Market Position
Positioned as the most approachable and productive high-level API for deep learning, bridging the gap between multiple low-level backends like JAX and PyTorch.
Leadership
Founders
François Chollet
Creator of Keras. Previously AI researcher at Google for nearly 10 years. Now founder of a new AI company (late 2024). Author of 'Deep Learning with Python'.
Executive Team
Matthew Watson
Engineering Lead (Keras Team at Google)
Software Engineer at Google working on KerasNLP and core Keras 3 infrastructure.
Haifeng Jin
Software Engineer (Keras Team at Google)
Lead maintainer of AutoKeras and KerasHub/KerasNLP.
Board of Directors
Founding Story
Created by François Chollet in 2015 as part of the research project ONEIROS. It was designed to be a high-level API for neural networks, initially supporting Theano and later TensorFlow.
Business Model
Revenue Model
Open-source software; sponsored and funded by Google LLC.
Pricing Tiers
Available under Apache License 2.0.
Target Markets
- AI Researchers
- ML Engineers
- Data Scientists
- Enterprise Software Developers
- Academia
- Deep learning research
- Production machine learning deployment
- Rapid prototyping of AI models
- Natural Language Processing
- Computer Vision
- NASA
- CERN
- YouTube
- Waymo