ARTIFICIAL NEURAL NETWORKS: KEY LEARNING APPROACHES AND CHALLENGES

A lot of Materials out there either in softcopy online or hardcopy over the shelve has proven difficult to understand due to high technicality in the style of writing. The are so much of mathematical formulas and terms that are difficult for upcoming scholars in this field of artificial intelligence to grasp. This has discouraged young scholar. The need to simplify what artificial intelligence really is, is necessary to encourage more people to see its beauty and benefit. Developing countries need more of this knowledge in order to invest and develop artificial intelligence related projects to encourage fast growing rate. This article is written in the simplest of terms for people to appreciate artificial intelligence. It is free of mathematical formulas which is one of the discouraging factors in the study of artificial intelligence. It is aimed at providing the basics building foundation for scholars intending to embark on artificial intelligence projects

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-23
DOI
https://doi.org/10.5281/zenodo.13982421
Primary Topic
Undergraduate Neuroscience Education and Research
Type
article
Field-Weighted Citation Impact
0.00
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article

ARTIFICIAL NEURAL NETWORKS: KEY LEARNING APPROACHES AND CHALLENGES

Zenodo (CERN European Organization for Nuclear Research)
Undergraduate Neuroscience Education and Research
article

ARTIFICIAL NEURAL NETWORKS: KEY LEARNING APPROACHES AND CHALLENGES

article en

Abstract

A lot of Materials out there either in softcopy online or hardcopy over the shelve has proven difficult to understand due to high technicality in the style of writing. The are so much of mathematical formulas and terms that are difficult for upcoming scholars in this field of artificial intelligence to grasp. This has discouraged young scholar. The need to simplify what artificial intelligence really is, is necessary to encourage more people to see its beauty and benefit. Developing countries need more of this knowledge in order to invest and develop artificial intelligence related projects to encourage fast growing rate. This article is written in the simplest of terms for people to appreciate artificial intelligence. It is free of mathematical formulas which is one of the discouraging factors in the study of artificial intelligence. It is aimed at providing the basics building foundation for scholars intending to embark on artificial intelligence projects

Zenodo (CERN European Organization for Nuclear Research)
Lead City University (NG)
Openalex Percentile: Top 65%
Undergraduate Neuroscience Education and Research
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ARTIFICIAL NEURAL NETWORKS: KEY LEARNING APPROACHES AND CHALLENGES · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS