5,471Peserta
Terakhir di update27/9/2024
LevelAdvanced
Artificial Neural Network: Teori Dasar dan Aplikasinya
Rp 189.000
Akses kursus hingga 12 bulan
4 Sesi pembelajaran
Durasi belajar selama150 menit
Tentang Kursus Ini
Pelajari teori dasar Artificial Neural Network (ANN), meliputi supervised dan unsupervised learning, serta aplikasinya dalam dimension reduction dan PCA untuk memecahkan masalah nyata.
Materi yang Dipelajari
Introduction of ANN
Overview of ANN
[ANN01A-ID] Overview of ANN
ANN Architecture
[ANN01B-ID] ANN Architecture
Perceptron Algorithm
[ANN01C-ID] Perceptron Algorithm
[QUIZ] Introduction of ANN
Multilayer Perceptron
Backpropagation Neural Network Part 1
[ANN02A-ID] Back Propagation Neural Network Part 1
Backpropagation Neural Network Part 2
[ANN02B-ID] Back Propagation Neural Network Part 2
Performance Evaluation
[ANN02C-ID] Performance Evaluation
[QUIZ] Multilayer Perceptron
Unsupervised learning
Self-Organizing Map Part 1
[ANN03A-ID] Self-Organizing Map Part 1
Self-Organizing Map Part 2
[ANN03B-ID] Self-Organizing Map Part 2
[QUIZ] Unsupervised learning
Principal Component Analysis
Principal Component Analysis Part 1
[ANN04A-ID] Principal Component Analysis Part 1
Principal Component Analysis Part 2
[ANN04B-ID] Principal Component Analysis Part 2
[QUIZ] Principal Component Analysis
Mitra Pengajar
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Pengajar
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