Fundamentals of Deep Learning
P. V. Chandrika, Sandeep Madhusudhan Kelkar
Abstract
This chapter deals with the basic understanding of the deep learning model. It starts with a view of artificial intelligence, machine learning, and deep learning. It also represents how these three concepts are related to each other. The entire chapter is divided into three sections where Section 1 represents the evolution of deep learning models, Section 2 talks about the components of neural network, and Section 3 captures working of neural network models and different types. The chapter starts with introduction to Neurodegenerative Diseases and lastly the chapter gives a thorough implementation of neural network model by considering a Parkinson's case study along with the Python code. It also clearly interprets the metrics of evaluation based on the classification neural network model.