Artificial Neural Networks for Beginners

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Revision as of 14:09, 24 December 2023 by SatoshiNakamoto (talk | contribs) (Created page with "Title: Artificial Neural Networks for Beginners Research Question: How can we simplify the concept of artificial neural networks for beginners? Methodology: The authors used a teaching package to introduce the concept of artificial neural networks (ANNs) to people with no prior knowledge of them. They focused on making a brief introduction to the models of networks and general terms of ANNs, with a focus on the backpropagation algorithm. Results: The authors found tha...")
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Title: Artificial Neural Networks for Beginners

Research Question: How can we simplify the concept of artificial neural networks for beginners?

Methodology: The authors used a teaching package to introduce the concept of artificial neural networks (ANNs) to people with no prior knowledge of them. They focused on making a brief introduction to the models of networks and general terms of ANNs, with a focus on the backpropagation algorithm.

Results: The authors found that by simplifying the concept and using clear language, beginners could easily understand the basic concepts of ANNs. The backpropagation algorithm, which is widely used and many other algorithms are derived from it, was explained in detail.

Implications: This teaching package can be used by people with high school education who want to understand the basics of ANNs. It can also be useful for people who only want to apply the backpropagation algorithm without a detailed and formal explanation. The authors recommend further reading for a more in-depth understanding of ANNs.

Link to Article: https://arxiv.org/abs/0308031v1 Authors: arXiv ID: 0308031v1