Python and TensorFlow for old CPU

This guide explains how to use Python and TensorFlow on older computers that do not have advanced CPU features called AVX instructions. Normally, newer versions of TensorFlow need these AVX instructions to work. However, an older version, TensorFlow 1.5, can run on CPUs without AVX. This older TensorFlow version only works with Python 3.6 or earlier. Because Python 3.6 is no longer supported and doesn't get security updates, it can be tricky to set up. This guide helps you get Python 3.6 working again so you can use it with TensorFlow 1.5.

Benefits

This method allows you to run TensorFlow, a powerful tool for machine learning, on older hardware that would otherwise not be compatible. It revives Python 3.6, making it usable with TensorFlow 1.5, and ensures compatibility with CPUs lacking AVX instructions.

Use Cases

This setup is ideal for individuals or organizations with older computers that they wish to use for machine learning tasks. It enables the use of TensorFlow 1.5 for developing and running machine learning models on hardware that cannot support newer versions of the software. This is particularly useful for educational purposes or for projects where the latest features of TensorFlow are not required.

Pricing (ONLY include if available)

This guide focuses on setting up open-source software. Python and TensorFlow are free to use. The process described involves downloading and compiling source code, which does not incur any direct costs.