On y va
Getting started with TensorFlow is relatively easy, assuming one is familiar with ANNs. TensorFlow's website provides good examples to get one started. For an example on how ANNs are implemented with TensorFlow, go straight for "Get started" => "Deep MNIST for experts". Installation of TensorFlow on a computer without GPU support is easy, following the instructions on the website. Server installation in virtualenv, Anaconda installation using own package management system. One should note that server installation is not visible in Anaconda if run on same system, one needs separate installs in this case. Below, I'll describe my experiences with GPU (GeForce GTX 1070 on Ubuntu 16.04 LTS) as well as notes about running TensorFlow based programs with both GPU and CPU. GPU installation Installation of TensorFlow with GPU support is a bit trickier, primarily because TensorFlow relies on NVIDIA CUDA library. This in itself is not a problem, the challe