A deep dive into deep learning Desai Anuradha1,*, Devani Disha2, Dr. Patel Premal3 1IT Department, Silver Oak University, Ahmedabad, India 2IT Department, Silver Oak University, Ahmedabad, India 3CE Department, Silver Oak University, Ahmedabad, India *Corresponding Author: anuradha.patel02@gmail.com
Online Published on 9 February, 2024. Abstract Deep learning is a technique for mimicking the human brain by intimating human functionality and attempting to uncover fruitful patterns in data using a neural network. With the increase in data volume, deep learning is becoming more popular. End devices such as smartphones and IoT sensors generate data that must be appropriately analyzed using deep learning models. This paper intends to present the reader with complete understanding of the fundamentals of deep learning elements in order to make the principles more evident in the deep learning field. This study focuses on the three major types of neural networks that serve as the foundation of deep learning models. The three primary types are as follows: i) Artificial Neural Network, ii) Convolution Neural Network and iii) Recurrent Neural Network. Let's take a deep diveinto each of these sorts. Top Keywords Deep-Learning, Neural-Network, ANN, CNN, RNN, Meaningful Insights from Data. Top |