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6 changes: 3 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@ as well as `tf.data` pipelines.

#### Minimal installation

Keras 3 is compatible with Linux and MacOS systems. For Windows users, we recommend using WSL2 to run Keras.
Keras 3 is compatible with Linux and macOS systems. For Windows users, we recommend using WSL2 to run Keras.
To install a local development version:

1. Install dependencies:
Expand All @@ -60,8 +60,8 @@ python pip_build.py --install

The `requirements.txt` file will install a CPU-only version of TensorFlow, JAX, and PyTorch. For GPU support, we also
provide a separate `requirements-{backend}-cuda.txt` for TensorFlow, JAX, and PyTorch. These install all CUDA
dependencies via `pip` and expect a NVIDIA driver to be pre-installed. We recommend a clean python environment for each
backend to avoid CUDA version mismatches. As an example, here is how to create a Jax GPU environment with `conda`:
dependencies via `pip` and expect a NVIDIA driver to be pre-installed. We recommend a clean Python environment for each
backend to avoid CUDA version mismatches. As an example, here is how to create a JAX GPU environment with `conda`:

```shell
conda create -y -n keras-jax python=3.10
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