Mata Kuliah MA4072 - 2024

Kode Mata KuliahMA4072 / 4 SKS
Penyelenggara101 - Matematika / FMIPA
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahPembelajaran MendalamDeep Learning
Bahan Kajian
  1. Model perceptron sederhana (supervised learning)
  2. Model multilayer perceptron
  3. Autograd, fungsi aktivasi, dan fungsi loss
  4. Optimasi gradient descent
  5. Metode regularisasi untuk overfitting
  6. Convolutional neural network (CNN)
  7. Recurrent neural network (RNN), gated neural network (GRU), dan long-short term memory (LSTM) model
  8. Autoencoder dan variational autoencoder (unsupervised learning)
  9. Natural language processing (NLP)
  10. Large language model (LLM), attention dan Transformer
  11. Reinforcement learning
  1. Simple perceptron model (supervised learning)
  2. Multilayer perceptron model
  3. Autograd, activation functions, and loss functions
  4. Gradient descent optimization
  5. Regularization methods for overfitting
  6. Convolutional Neural Networks (CNNs)
  7. Recurrent Neural Networks (RNNs), Gated Recurrent Units (GRUs), and Long Short-Term Memory (LSTM) models
  8. Autoencoders and Variational Autoencoders (unsupervised learning)
  9. Natural Language Processing (NLP)
  10. Large Language Models (LLMs), Attention Mechanisms, and Transformers
  11. Reinforcement Learning (RL)
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Kemampuan melakukan estimasi masalah kontinu dan kategorisasi menggunakan model pembelajaran mendalam
  2. Kemampuan menganalisa model pembelajaran mendalam
  3. Kemampuan menyelesaikan berbagai masalah menggunakan model pembelajaran mendalam yang sesuai secara efisien
  1. Ability to perform estimation and classification tasks using deep learning models.
  2. Ability to analyze deep learning models.
  3. Ability to solve various problems efficiently using appropriate deep learning models.
Metode PembelajaranTatap Muka, Programing, Studi Kasus, Diskusi kelompokLectures, Programming, Case Studies, Group discussions
Modalitas PembelajaranLuring Sinkron dan asinkron Mandiri dan KelompokOffline Synchronous and asynchronous Independent and Group
Jenis NilaiABCDE
Metode PenilaianUjian 1 dan Ujian 2, Kuis dan Tugas, Project AkhirTest 1 and Test 2, Quiz and Assignment, Final Project
Catatan Tambahan