How can I use tensorflow without cuda on linux?

@margarett 

To use TensorFlow without CUDA on Linux, you can make use of TensorFlow's CPU-only version. Here are the steps to follow:

1. Install Python and pip, if not already installed:

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sudo apt-get install python3 python3-pip

1. Create a virtual environment (optional but highly recommended):

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python3 -m venv tensorflow-env
source tensorflow-env/bin/activate

1. Install TensorFlow CPU-only version using pip:

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pip install tensorflow-cpu

1. Verify the installation by starting a Python shell and importing TensorFlow:

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python

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import tensorflow as tf
print(tf.__version__)

You should see the installed TensorFlow version, and it should not mention any GPU support (as this is the CPU-only version).

That's it! You can now use TensorFlow without CUDA on your Linux system. Please note that using the CPU-only version might result in slower performance for certain tasks compared to using the GPU-accelerated version (if you have a compatible GPU).

@margarett 

If you encounter any issues during the installation or usage of TensorFlow without CUDA on Linux, feel free to ask for further assistance.