Open AccessDevelopment Environment of Machine Learning for Image Classification
Author(s) -
Irwan Jani Tarigan,
Poltak Sihombing,
Pahala Sirait
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1811/1/012022
Subject(s) - computer science , artificial intelligence , process (computing) , artificial neural network , convolution (computer science) , image (mathematics) , machine learning , pattern recognition (psychology) , operating system
Machine learning is an interesting topic nowadays, it is also a subarea of artificial intelligence. An interesting thing that needs to be done in the beginning is how to configure the Development Environment (DE). In this paper, DE is configured using Acer-Notebook with jupyter notebook and Smartphone with google colab for image classification using convolution neural network method. The configuration process is easier to do on Smartphone Realme-C2 than Acer-Notebook and the best level of accuracy is epoch 100 in training and testing data obtained by Smartphone Realme-C2 are 0.70 and 0.66, while Acer-Notebook is 0.70 and 0.63.