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16 changes: 14 additions & 2 deletions README.md
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<img width="100%" src="https://d2ooyrflu7lhqd.cloudfront.net/Keras_161c0deeeb.png?format=auto">

# Keras 3: Deep Learning for Humans

Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, PyTorch, and OpenVINO (for inference-only).
Expand All @@ -7,7 +9,12 @@ timeseries forecasting, recommender systems, etc.
- **Accelerated model development**: Ship deep learning solutions faster thanks to the high-level UX of Keras
and the availability of easy-to-debug runtimes like PyTorch or JAX eager execution.
- **State-of-the-art performance**: By picking the backend that is the fastest for your model architecture (often JAX!),
leverage speedups ranging from 20% to 350% compared to other frameworks. [Benchmark here](https://keras.io/getting_started/benchmarks/).
leverage speedups ranging from 20% to 350% compared to other frameworks.

<a href="https://keras.io/getting_started/benchmarks/" target="_blank">
<img src="https://img.shields.io/badge/Keras-Benchmarks-CD5C5C?style=for-the-badge&logo=keras&logoColor=white" alt="Keras Benchmarks Badge"></a>


- **Datacenter-scale training**: Scale confidently from your laptop to large clusters of GPUs or TPUs.

Join nearly three million developers, from burgeoning startups to global enterprises, in harnessing the power of Keras 3.
Expand Down Expand Up @@ -120,4 +127,9 @@ e.g. the scalability and performance of JAX or the production ecosystem options
- As a JAX user: get access to a fully-featured, battle-tested, well-documented modeling and training library.


Read more in the [Keras 3 release announcement](https://keras.io/keras_3/).
Read more in the Keras 3 release announcement.<br>

<a href="https://keras.io/keras_3/" target="_blank">
<img src="https://img.shields.io/badge/Keras-3_release_announcement-CD5C5C?style=for-the-badge&logo=keras&logoColor=white" alt="Keras 3 Badge">
</a>