Deep Learning Essentials

Data representation

In this section, we will look at core data structures and representations used most commonly across different linear algebra tasks. This is not meant to be a comprehensive list at all but only serves to highlight some of the prominent representations useful for understanding deep learning concepts:

• Vectors: One of the most fundamental representations in linear algebra is a vector. A vector can be defined as an array of objects, or more specifically an array of numbers that preserves the ordering of the numbers. Each number can be accessed in a vector based on its indexed location. For example, consider a vector x containing seven days a week encoded from 1 to 7, where 1 represents Sunday and 7 represents Saturday. Using ...