Process of developing a deep network model

Developing a deep learning network model can be broken down into five key steps shown in the following flowchart:

Each step mentioned in the preceding flowchart can have varying requirements based on the type of data used, the type of deep learning network being developed, and also the main objective of developing a model. We will go over each step to develop a general idea about what is involved.

Preparing the data for a deep network model

Developing deep learning neural network models requires the variables to have a certain format. Independent variables may come with a varying scale, with some variable values in decimals and some other variables in thousands. Using such varying...