Contents


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

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

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

This book compiles a wide range of applications in Deep Learning in two sections:

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.**

Universidad Autónoma de Querétaro,

Faculty of Engineering,

Querétaro, México

"Deep Learning Applications" and "Future Trends of Deep Learning."

outpaced our abilities to predict.

intelligence of paramount importance in today's world.

faced a century ago.
