TY  - CHAP
AU  - Md Nazmus Saadat
AU  - Muhammad Shuaib
ED  - Marco Antonio Aceves-Fernandez
Y1  - 2020-12-09
PY  - 2020
T1  - Advancements in Deep Learning Theory and Applications: Perspective in 2020 and beyond
N2  - 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.
BT  - Advances and Applications in Deep Learning
SP  - Ch. 1
UR  - https://doi.org/10.5772/intechopen.92271
DO  - 10.5772/intechopen.92271
SN  - 978-1-83962-879-5
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -