IMPLEMENTASI DEEP LEARNING UNTUK MENGANALISA BERBAGAI MACAM DAUN

LIMBOING, CHRISTOPHER BENRIO (2022) IMPLEMENTASI DEEP LEARNING UNTUK MENGANALISA BERBAGAI MACAM DAUN. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Networks (CNN). Deep Learning is a learning method carried out by machines by imitating how the basic systems of the human brain work. The basic system the human brain works on is called neural networks. That is why deep learning is called using Convolution Neural Networks (CNN) which in other words uses 'artificial neural networks'. It is able to learn and adapt to large amounts of data and solve problems that are difficult to solve with other machine learning algorithms. Currently, deep learning techniques are very popular among data practitioners and attract the attention of many parties. This is because deep learning technology has been applied in various high-tech products such as self-driving cars. Moreover, it is also behind the products and services we use every day. Examples include digital assistants, Google Translate, and voice-activated devices (smart devices that can be activated by voice). In this journal review report, I collect several journals/articles that I think are useful for everyday life and even for research. Key words: Deep learning, convolution neural networks, machine learning Deep Learning merupakan salah satu bagian dari berbagai macam metode machine learning yang menggunakan Convolution Neural Networks (CNN). Deep Learning adalah metode pembelajaran yang dilakukan oleh mesin dengan cara meniru bagaimana sistem dasar otak manusia bekerja. Sistem dasar otak manusia bekerja ini disebut neural networks. Itulah mengapa deep learning disebut menggunakan Convolution Neural Networks (CNN) yang dengan kata lain menggunakan ‘neural networks buatan’. Ia mampu belajar dan beradaptasi terhadap sejumlah besar data serta menyelesaikan berbagai permasalahan yang sulit diselesaikan dengan algoritma machine learning lainnya. Saat ini, teknik deep learning sangat populer di kalangan praktisi data dan menarik perhatian banyak pihak. Hal ini karena teknologi deep learning telah diterapkan dalam berbagai produk berteknologi tinggi seperti self-driving car. Selain itu, ia juga ada di balik produk dan layanan yang kita gunakan sehari-hari. Contohnya antara lain, asisten digital, Google Translate, dan voice-activated device (perangkat cerdas yang bisa diaktifkan dengan suara). Dalam laporan review jurnal ini, saya mengumpulkan beberapa jurnal/artikel yang saya rasa berguna untuk kehidupan sehari-hari bahkan untuk penelitian. Kata kunci: Deep learning, convolution neural networks, machine learning

Item Type: Thesis (S1)
Call Number CD: JM/INFO. 22 012
NIM/NIDN Creators: 41517010093
Uncontrolled Keywords: Deep learning, convolution neural networks, machine learning
Subjects: 100 Philosophy and Psychology/Filsafat dan Psikologi > 130 Paranormals/Paranormal
100 Philosophy and Psychology/Filsafat dan Psikologi > 130 Paranormals/Paranormal > 133 Parapsychology and Occultism/Parapsikologi dan Ilmu Ghaib
100 Philosophy and Psychology/Filsafat dan Psikologi > 130 Paranormals/Paranormal > 133 Parapsychology and Occultism/Parapsikologi dan Ilmu Ghaib > 133.3 Divinatory Arts/Kepercayaan Kepada Tahayul
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 570 Biology/Biologi, Ilmu Hayat > 575 Specific Physiological Systems in Plants/Sistem Fisiologi Spesifik pada Tumbuhan
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: ELMO ALHAFIIDH PUTRATAMA
Date Deposited: 13 Sep 2022 02:16
Last Modified: 16 Sep 2022 07:56
URI: http://repository.mercubuana.ac.id/id/eprint/68993

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