Neural network users need to have a fair understanding of neural network concepts, algorithms, and the underlying mathematics. Good mathematical intuition and understanding of many techniques is necessary for a solid grasp of the inner functioning of the algorithms and for getting good results. The amount of maths required and the level of maths needed to understand these techniques is multidimensional and also depends on interest. In this chapter, you will learn neural networks by understanding the maths used to solve complex computational problems. This chapter covers the basics of linear algebra, calculus, and optimization for neural networks.
The main purpose of this chapter is to set up the fundamentals of mathematics for the upcoming chapters.
Following topics will be covered in the chapter:
- Understanding linear algebra
- Understanding Calculus