Innovative Engineering with AI Applications

3Deep Learning: Tools and Models

Brijesh K. Soni and Akhilesh A. Waoo*

Department of Computer Science and Technology, AKS University, Satna, MP, India

Abstract

Now in this modern era, we are exploring technology and science, in the same scenarios, we are also trying to explore a popular technology named “Deep-Learning”, which is a giant technology in the software industry around the world. Here in this chapter, we start with the basic concept of deep learning including the framework and library frequently used to develop such types of applications. Further, in the middle part various deep learning models were discussed with a practical approach using the MNIST dataset. These models are used for solving various complex problems in the domain of computer vision and natural language processing. At the end of this chapter, we are also trying to introduce some emerging and interdisciplinary domains associated with deep learning and artificial intelligence. However, this chapter contains only the core concept of deep learning technology, and it might be fruitful for a beginner in this area.

Keywords: Deep-learning, deep neural network, DBN, RNN, CNN, GAN, MNIST, Keras, TensorFlow, phenotyping, human visual system

3.1 Introduction

Deep learning is the most prominent technology nowadays in most industrial applications. Techniques and methods invented in this domain are broadly applicable in the software industry, automobile industry, gaming industry, agriculture industry, medical ...