Let's talk bout Linear-Algebra and ML

Part:1
The Neural Network
Neural Network is a machine learning model that helps in image processing. So now, what if I give a picture as an input? A neural network takes it as a pixel and runs some mathematical operations on it using an algorithm. The data in the picture helps take parameters, which contribute to making the best prediction for existing data.

In the picture, those black points are neural network nodes, which are organized in layers. These layers can be expressed as a rectangular array of numbers, which is ultimately called a matrix. These image pixels are mainly simple values that are being received as input, and then the algorithm determines the output by doing mathematical operations on them. This amazing process actually reminds us of the precious existence of linear algebra. By the way, neural networks have many more amazing applications!