/Live-ITS-2019-Artificial-Neural-Network-Tutorial-Code

Artificial Neural Network code written from scratch in java for ITS2019 that was held at UWI Mona

Primary LanguageJava

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Figure 1: A self-driving car driving without driver in the State of Phoenix. (This self-driving taxi service, which is powered by artificial intelligence, was made available to the public on December 5, 2018!)

"Students" who participated

These are two senior programmers who are not actual students, but who are working adults. Albeit, they were students only in the sense of the tutorial I led, at the ITS 2019 event.

Lyndell Hall: https://www.linkedin.com/in/lynden-hall-ab198621/

Duane Brown: https://www.linkedin.com/in/duane-brown-082986120/

Summary

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Diagrams and Software code

The simple neural network from tutorial was designed to do the task of predicting an “Xor Gate” output, given two “Xor Gate” inputs. This is the typical example used to teach artificial neural networks.

The code may be found in the source-code folder of this repository.

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Other links

ITS 2019 Website, where you'll find my poster/guide: https://its2019.iis-international.org/program/selected-workshops-and-tutorials/

My poster/guide: https://its2019.iis-international.org/wp-content/uploads/ITS-2019-Tutorial.pdf

Schedule: https://its2019.iis-international.org/wp-content/uploads/ITS2019-Program.pdf