Essay (body)

The first idea that will be discussed is the systematic operation of Deep learning, it consists of multiple processes, depending on the type of the deep neural network and the type of process being used. To answer the question how does the neural network work? The first thing we need to know is that each (NN) contains multiple visible layers of interconnected nodes that have one role called forward propagation which is optimizing the prediction, and there are two types of layers the input layers which are responsible for absorbing the data for the processing and output layers is where the prediction is made (Mingzhu and Zhu, 2010). Besides that, there is another process called backpropagation that is similar to the previous, in a nutshell when these two processes work together the neural network will be able to make predictions (IBM Education, 2022).

The second idea that will be discussed is that Various artificial intelligence applications and products that promote automation rely on the deep learning, which requires certain conditions and elements to be able to embody this technology in the electronic devices, some of those requirements are programming, calculus, linear algebra, probability, and data science (UpGrad blog, 2022). Programming is the language of the communication with the machines in which the programmer writes multiple code lines and the most tow common languages used in this field of deep learning are python and R, in addition to that the programmer needs to be competitive with the mathematical and data analytics skills so that he will be able to solve the dilemmas of the current era in deep learning. Furthermore, it requires advanced hardware to work with (Einfochips, 2022).