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