Basics of linear algebra
One of the most fundamental skills required to get oneself setup with deep learning is a foundational understanding of linear algebra. Though linear algebra itself is a vast subject, and covering it in full is outside the scope of this book, we will go through some important aspects of linear algebra in this chapter. Hopefully, this will give you a sufficient understanding of some core concepts and how they interplay with deep learning methodologies.
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...
