diff --git a/README.md b/README.md index 59c09d1778d..87399835084 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,5 @@ + + # 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). @@ -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. + + + Keras Benchmarks Badge + + - **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. @@ -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.
+ + + Keras 3 Badge + +