Deep learning for humans.

Keras is an API designed for human beings, not machines Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages It also has extensive documentation and developer guides

Iterate at the speed of thought.

*API tool which provides an open source neural network library through recurrent and convolutional networks.

Keras is the most used deep learning framework among top-5 winning teams on Kaggle Because Keras makes it easier to run new experiments, it empowers you to try more ideas than your competition, faster And this is how you win

Built on top of TensorFlow 2, Keras is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod It's not only possible; it's easy

Take advantage of the full deployment capabilities of the TensorFlow platform You can export Keras models to JavaScript to run directly in the browser, to TF Lite to run on iOS, Android, and embedded devices It's also easy to serve Keras models as via a web API

Keras is a central part of the tightly-connected TensorFlow 2 ecosystem, covering every step of the machine learning workflow, from data management to hyperparameter training to deployment solutions

Keras is used by CERN, NASA, NIH, and many more scientific organizations around the world (and yes, Keras is used at the LHC) Keras has the low-level flexibility to implement arbitrary research ideas while offering optional high-level convenience features to speed up experimentation cycles

Because of its ease-of-use and focus on user experience, Keras is the deep learning solution of choice for many university courses It is widely recommended as one of the best ways to learn deep learning

Take it from our users.

" Keras is that sweet spot where you get flexibility for research and consistency for deployment Keras is to Deep Learning what Ubuntu is to Operating Systems "

Sayak Paul

Deep Learning Associate at PyImageSearch "If you are a ML researcher or a ML engineer, Keras has got you covered by allowing you to tweak the novel bits while delegating the generic bits to the library itself "

Margaret Maynard-Reid

Machine Learning Engineer "What I personally like the most about Keras (aside from its intuitive APIs), is the ease of transitioning from research to production I can train a Keras model, convert it to TF Lite and deploy it to mobile & edge devices "