Deep Loving – The Friend of Deep Learning

Deep Loving – The Friend of Deep Learning

satish_gajawada

Contact

Satish Gajawada

Contact

Hassan M. H. Mustafa

Contact

Indian Institute of Technology Roorkee

Deep Loving – The Friend of Deep Learning

Article Fingerprint

ReserarchID

62O50

Deep Loving – The Friend of Deep Learning Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

Artificial Intelligence and Deep Learning are good fields of research. Recently, the brother of Artificial Intelligence titled “Artificial Satisfaction” was introduced in literature [10]. In this article, we coin the term “Deep Loving”. After the publication of this article, “Deep Loving” will be considered as the friend of Deep Learning. Proposing a new field is different from proposing a new algorithm. In this paper, we strongly focus on defining and introducing “Deep Loving Field” to Research Scientists across the globe. The future of the “Deep Loving” field is predicted by showing few future opportunities in this new field. The definition of Deep Learning is shown followed by a literature review of the “Deep Loving” field. The World’s First Deep Loving Algorithm (WFDLA) is designed and implemented in this work by adding Deep Loving concepts to Particle Swarm Optimization Algorithm. Results obtained by WFDLA are compared with the PSO algorithm.

References

8 Cites in Article

Reference Format

(2019). Unknown Title.
Satish Gajawada,Hassan Mustafa (2020). Artificial God Optimization - A Creation.
Satish Gajawada,Hassan Mustafa (2020). Artificial Satisfaction - The Brother of Artificial Intelligence.
S (2020). References Références Referencias.
R Srivastava (2014). Deep neural networks are easily fooled: High confidence predictions for unrecognisable images.
Satish Gajawada,Hassan Mustafa (2019). Novel Artificial Human Optimization Field Algorithms - The Beginning.
Satish Gajawada,Hassan Mustafa (2019). Artificial God Optimization – A Creation.
Satish Gajawada,Hassan Mustafa (2019). Artificial Soul Optimization - An Invention.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

satish_gajawada. 2020. \u201cDeep Loving – The Friend of Deep Learning\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 20 (GJCST Volume 20 Issue D1).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 20 Issue D1

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-D Classification I.2.m

Submission ReceivedDecember 12, 2019
Peer Review Double Blind
Handling Editor
Accepted January 3, 2020
Published January 15, 2020

Version of record

v1.2

Issue date

June 8, 2020

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Views: 4611

Total Downloads: 1119

2026 Trends

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]