Preface

Since the earliest humans populated the earth, we have gradually tried to understand and control the world around us. In trying to understand such phenomena, humans began to make predictions to various extents. For instance, humans made predictions about motions of the planets, eclipses, cycles of rainfall, and periodicity of certain diseases. However, in the last few decades, the complexity of these predictions have outpaced our abilities to predict.

Luckily, the dawn of electronic computers is increasing our abilities to predict nature, although the problems we are facing now are far more complex than the problems we faced a century ago.

The ability of machines to demonstrate advanced cognitive skills in taking decisions, learning, perceiving the environment, predicting certain behavior, and processing written or spoken languages, among other skills, makes the discipline of artificial intelligence of paramount importance in today's world.

This book compiles a wide range of applications in Deep Learning in two sections: "Deep Learning Applications" and "Future Trends of Deep Learning."

This work will be of interest to students and researchers alike, as I did my best to comprise quality research contributions with a number of different applications.

> **Marco A. Aceves-Fernández, Ph.D.** Faculty of Engineering, Universidad Autónoma de Querétaro, Querétaro, México

**1**

Section 1

Deep Learning

Applications

Section 1

Deep Learning Applications

**3**

**Chapter 1**

**Abstract**

Advancements in Deep Learning

Perspective in 2020 and beyond

The aim of this chapter is to introduce newcomers to deep learning, deep learning platforms, algorithms, applications, and open-source datasets. This chapter will give you a broad overview of the term deep learning, in context to deep learning machine learning, and Artificial Intelligence (AI) is also introduced. In Introduction, there is a brief overview of the research achievements of deep learning. After Introduction, a brief history of deep learning has been also discussed. The history started from a famous scientist called Allen Turing (1951) to 2020. In the start of a chapter after Introduction, there are some commonly used terminologies, which are used in deep learning. The main focus is on the most recent applications, the most commonly used algorithms, modern platforms, and relevant open-source databases or datasets available online. While discussing the most recent applications and platforms of deep learning, their scope in future is also discussed. Future research directions are discussed in applications and platforms. The natural language processing and auto-pilot vehicles were considered the state-of-the-art application, and these applications still need a good portion of further research. Any reader from undergraduate and postgraduate students, data scientist, and

**Keywords:** deep learning, machine learning, artificial intelligence, neural networks

Deep learning is focusing comprehensively on video, image, text and audio recognition, autonomous driving, robotics, healthcare, etc. [1]. Deep learning is a result orientated field of study that why getting very much attention from researcher and academicians. The Rina Dechter introduced the word of deep learning in 1986, the main motivation behind the advent of field deep learning was making an intelligent machine that mimic the human brain. In humans, the brain is the most important and decision-making organ; brain takes decision based on sight, smell, touch, and sounds. The brain also can store memory and solve complex

For the last few decades, the researchers dreamed of making a machine that is as intelligent as, like our brains, they started studying the biological structure and working of the human brain. Making a robot that performs certain duties and self-driving cars is to reduce roadside incidents. Because according to the World

Theory and Applications:

*Md Nazmus Saadat and Muhammad Shuaib*

researchers would be benefitted from this.

problems based on their experience.

**1. Introduction**
