However, before proceeding with the formal steps, we need to determine which TensorFlow to install on your platform. TensorFlow has been developed such that you can run data-intensive tensor application on GPU as well as CPU. Thus, you should choose one of the following types of TensorFlow to install on your platform:

• TensorFlow with CPU support only: If there is no GPU such as NVIDIA installed on your machine, you must install and start computing using this version. This is very easy and you can do it in just 5 to 10 minutes.
• TensorFlow with GPU support: As you might know, a deep learning application requires typically very high intensive computing resources. Thus TensorFlow is no exception but can typically speed up data computation and analytics significantly on a GPU rather than on a CPU. Therefore, if there's NVIDIA GPU hardware on your machine, you should ultimately install and use this version.

From our experience, even if you have NVIDIA GPU hardware integrated on your machine, it would be worth installing and trying the CPU only version first and if you don't experience good performance you should switch to GPU support then.