Author(s) Name: Marco Antonio, Aceves Fernandez
Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in.
In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike.
Table of Contents
1. Advancements in Deep Learning Theory and Applications: Perspective in 2020 and beyond
2. Advances in Convolutional Neural Networks
3. Transfer Learning and Deep Domain Adaptation
4. Deep Learning Enabled Nanophotonics
5. Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models
6. Dynamic Decision-Making for Stabilized Deep Learning Software Platforms
ISBN: 978-1-83962-879-5
Publisher: Intech Open
Year of Publication: 2020
Book Link: Home Page Url
