IRWAN JANI TARIGAN and POLTAK SIHOMBING and PAHALA SIRAIT (2021) DEVELOPMENT ENVIRONMENT OF MACHINE LEARNING FOR IMAGE CLASSIFICATION. In: THE 2ND INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNOLOGY APPLICATIONS (ICOSTA) 2020, 3 NOVEMBER 2020, MEDAN, INDONESIA.
Full text not available from this repository.Abstract
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.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Divisions: | Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) > Prosiding > Fakultas Informatika |
Depositing User: | Merpita Saragih |
Date Deposited: | 22 Nov 2024 06:42 |
Last Modified: | 22 Nov 2024 06:42 |
URI: | https://repository.mikroskil.ac.id/id/eprint/3758 |