Reading and iterating through data

ETL is an important stage in neural network training since it involves data. Data extraction, transformation, and loading needs to be addressed before we proceed with neural network design. Bad data is a much worse situation than a less efficient neural network. We need to have a basic understanding of the following aspects as well:

• The type of data you are trying to process
• File-handling strategies

In this recipe, we will demonstrate how to read and iterate data using DataVec.

Getting ready

As a prerequisite, make sure that the required Maven dependencies have been added for DataVec in your pom.xml file, as we mentioned in previous chapter, Configuring Maven for DL4J recipe.

The following...