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8 changes: 6 additions & 2 deletions README.md
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# Keras 3: Deep Learning for Humans

Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, and PyTorch.
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, natural language processing, audio processing,
timeseries forecasting, recommender systems, etc.

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## Configuring your backend

You can export the environment variable `KERAS_BACKEND` or you can edit your local config file at `~/.keras/keras.json`
to configure your backend. Available backend options are: `"tensorflow"`, `"jax"`, `"torch"`. Example:
to configure your backend. Available backend options are: `"tensorflow"`, `"jax"`, `"torch"`, `"openvino"`. Example:

```
export KERAS_BACKEND="jax"
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**Note:** The backend must be configured before importing `keras`, and the backend cannot be changed after
the package has been imported.

**Note:** The OpenVINO backend is an inference-only backend, meaning it is designed only for running model
predictions using `model.predict()` method.
To use `openvino` backend, install the required dependencies from the `requirements-openvino.txt` file.

## Backwards compatibility

Keras 3 is intended to work as a drop-in replacement for `tf.keras` (when using the TensorFlow backend). Just take your
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