[HTML][HTML] A state-of-the-art survey on deep learning theory and architectures
In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …
domains. This new field of machine learning has been growing rapidly and has been …
The history began from alexnet: A comprehensive survey on deep learning approaches
Deep learning has demonstrated tremendous success in variety of application domains in
the past few years. This new field of machine learning has been growing rapidly and applied …
the past few years. This new field of machine learning has been growing rapidly and applied …
Review of deep learning algorithms and architectures
A Shrestha, A Mahmood - IEEE access, 2019 - ieeexplore.ieee.org
Deep learning (DL) is playing an increasingly important role in our lives. It has already made
a huge impact in areas, such as cancer diagnosis, precision medicine, self-driving cars …
a huge impact in areas, such as cancer diagnosis, precision medicine, self-driving cars …
Understanding of machine learning with deep learning: architectures, workflow, applications and future directions
MM Taye - Computers, 2023 - mdpi.com
In recent years, deep learning (DL) has been the most popular computational approach in
the field of machine learning (ML), achieving exceptional results on a variety of complex …
the field of machine learning (ML), achieving exceptional results on a variety of complex …
[PDF][PDF] The upsurge of deep learning for computer vision applications
Artificial intelligence (AI) is additionally serving to a brand new breed of corporations disrupt
industries from restorative examination to horticulture. Computers can't nevertheless replace …
industries from restorative examination to horticulture. Computers can't nevertheless replace …
A review of deep machine learning
The rapid increase of information and accessibility in recent years has activated a paradigm
shift in algorithm design for artificial intelligence. Recently, deep learning (a surrogate of …
shift in algorithm design for artificial intelligence. Recently, deep learning (a surrogate of …
[PDF][PDF] Three classes of deep learning architectures and their applications: a tutorial survey
L Deng - APSIPA transactions on signal and information …, 2012 - academia.edu
In this invited paper, my overview material on the same topic as presented in the plenary
overview session of APSIPA-2011 and the tutorial material presented in the same …
overview session of APSIPA-2011 and the tutorial material presented in the same …
Two applications of deep learning in the physical layer of communication systems [lecture notes]
E Bjornson, P Giselsson - IEEE Signal Processing Magazine, 2020 - ieeexplore.ieee.org
Deep learning has proven itself to be a powerful tool to develop datadriven signal
processing algorithms for challenging engineering problems. By learning the key features …
processing algorithms for challenging engineering problems. By learning the key features …
Deep learning and its applications to signal and information processing [exploratory dsp]
The purpose of this article is to introduce the readers to the emerging technologies enabled
by deep learning and to review the research work conducted in this area that is of direct …
by deep learning and to review the research work conducted in this area that is of direct …
Deep learning in visual computing and signal processing
Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features
from input data. Nowadays, researchers have intensively investigated deep learning …
from input data. Nowadays, researchers have intensively investigated deep learning …