Local Installation

1- Install WSL in Windows

• Install the latest NVidia driver for your graphics card.

• Run this command in PowerShell (run as administrator):

  wsl --install

• The rest of the document is inside the WSL Linux (e.g. Ubunu)

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2- Install Anaconda or Miniconda (for Linux)

• https://www.anaconda.com/docs/getting-started/miniconda/install#linux-2

• mkdir -p ~/miniconda3
  wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
  bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3
  rm ~/miniconda3/miniconda.sh

Create Virtual Environment

conda create -n <env_name> python=3.12
conda activate <env_name>

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3- Install Keras

• https://keras.io/getting_started/

• pip install --upgrade keras

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4- Install Backend(s)

Tensorflow

• https://www.tensorflow.org/install/pip

• Install

python3 -m pip install tensorflow[and-cuda]

• Test GPU Support

python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"

PyTorch

• https://pytorch.org/get-started/locally/

pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu129

JAX

• https://docs.jax.dev/en/latest/installation.html

pip install -U "jax[cuda12]"

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5- Install and Use Jupyter (jupyter-lab)

conda activate <env_name>
pip install jupyter
jupyter-lab --no-browser