There are five main steps that govern the working of the majority of algorithms in TensorFlow. They are as follows:
* Data import or data generation, alongside setting up a data pipeline
* Data input through computational graphs
* Generation of the loss function to evaluate the output
* Backpropagation to modify the data
* Iterating until output criteria are met
