Understanding Tensorflow using Go

Tensorflow is not a Machine Learning specific library, instead, is a general purpose computation library that represents computations with graphs. Its core is implemented in C and there are also bindings for different languages. The bindings for the Go programming language, differently from the Python ones, are a useful tool not only for using Tensorflow in Go but also for understanding how Tensorflow is implemented under the hood. Officially, the Tensorflow's developers released: Being a Gopher and not a Java lover, I started looking at the Go bindings in order to understand what kind of tasks they were created for. The first thing to note is that the Go API, for admission of the maintainers itself, lacks the Variable support: this API is designed to use trained models and not for training models from scratch.