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Komputasi Lunak

Soft Computing · Kecerdasan Buatan & Grafik · 3 sks pilihan · MIK1624724 (2020: PAIK6711)

Materi

Folder Drive ↗

Sebelum UTS 6

  1. 1 Pengantar Komputasi Lunak ↗
  2. 2 Dasar Neural Network ↗
  3. 3 Logistic Regression as Shallow Neural Netwrok Catatan ↗
  4. 4 Neural Network - Backpropagation ↗
  5. 5 Training Deep Network ↗
  6. 6 Deep Networks ↗

Lainnya Sumber Referensi ↗Soal Ujian ↗

Catatan

  1. 1 Logistic regression sebagai satu neuron Ubah skor linear menjadi probabilitas dan lihat pengaruh threshold. ▶ visual

UTS & UAS

Arsip soal belum tersedia.

Silabus

  1. 1 Pengantar Komputasi Lunak
  2. 2 Pengantar Jaringan Syaraf Tiruan dan Classiccal Model dari Jaringan Syaraf
  3. 3 Dasar-dasar Neural Network dalam bentuk Logistic Regression sebagai Neural Network
  4. 4 Shallow Neural Network
  5. 5 Deep Neural Network
  6. 6 Pengenalan Berbagai Arsitektur Deep Learning
  7. 7 Himpunan Fuzzy, fungsi keanggotaan fuzzy dan Operasinya
  8. 8 Sistem Inferensi Fuzzy
  9. 9 Model Sistem Fuzzy
  10. 10 Sistem Pendukung keputusan Fuzzy
  11. 11 Metode Clustering Fuzzy
  12. 12 Sistem Neuro Fuzzy

Sumber: Silabus Informatika 2020 (PAIK6711).

Referensi

  • Ng, Andrew, Course Material of Neural Network and Deep Learning Module on Deep Learning Spesialization by Deep Learning.ai
  • Nielsen, Michael, Neural Networks and Deep Learning available online at http://neuralnetworksanddeeplearning.com
  • Artikel Ilmiah terkait topik Deep Learning
  • Cengiz Kahraman, 2008, Fuzzy Multi-Criteria Decision Making : Theory and Applications with Recent Developments, Springer Science+Business Media, LLC; New York
  • Klir, Greoge J. and Folger, Tina A., 1988, Fuzzy Sets, Uncertainty, and Information, PrenticeHall International,Inc
  • Konar, Amit. 2005, Computational Intelligence. Principles, Techniques and Applications. Springer