NEURAL NETWORK FUNDAMENTAL DAN IMPLEMENTASI DALAM PEMROGRAMAN

  • Ibnu Akil (1*) Universitas Bina Sarana Informatika

  • (*) Corresponding Author
Keywords: Neural Network, Machine Learning, Deep Learning

Abstract

Nowadays machine learning and deep learning are becoming a trend in the world of information system. They are actually is part of an artificial intelligence domain. However, so many people don’t understand that machine learning and deep learning are built using neural networks. Therefore, in order to understand how machine learning and deep learning works, we must understand the basic concept of the neural network first. In this article, the writer describes the basic theory, math function of a neural network, and the example of implementation into the java programming language. The writer hopes that this article may help to understand neural network which is the core of machine learning and deep learning.

References

Chauhan, N. S. (2019). Build an Artificial Neural Network From Scratch: Part 1. https://www.kdnuggets.com/2019/11/build-artificial-neural-network-scratch-part-1.html

Deka, L., & Quddus, M. (2014). Network-level accident-mapping: Distance based pattern matching using artificial neural network. Accident Analysis and Prevention, 65, 105–113. https://doi.org/10.1016/j.aap.2013.12.001

Deus, J. (2018). Implementing an Artificial Neural Network in Pure Java (No external dependencies). https://medium.com/coinmonks/implementing-an-artificial-neural-network-in-pure-java-no-external-dependencies-975749a38114

Janakiram. (2016). Why Do Developers Find It Hard To Learn Machine Learning? https://www.forbes.com/sites/janakirammsv/2018/01/01/why-do-developers-find-it-hard-to-learn-machine-learning/#74e353dd6bf6

Molecular Devices. (2012). What is an Action Potential? Molecular Devices. https://www.moleculardevices.com/applications/patch-clamp-electrophysiology/what-action-potential#gref

Sena, S. (2017). Pengenalan Deep Learning Part 2 : Multilayer Perceptron. https://medium.com/@samuelsena/pengenalan-deep-learning-part-2-multilayer-perceptron-e8f98d625b09

Published
2020-02-01
How to Cite
Akil, I. (2020). NEURAL NETWORK FUNDAMENTAL DAN IMPLEMENTASI DALAM PEMROGRAMAN. INTI Nusa Mandiri, 14(2), 189-194. https://doi.org/10.33480/inti.v14i2.1179
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