Deep Learning (ZA-4302)

Bachelor of Digital Science, School of Digital Science, Universiti Brunei Darussalam, 2022

Students will learn to apply deep learning techniques for projects from different industries.

Contents

  • Applied Math and Machine Learning Basics
  • Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Generative Adversarial Networks
  • Adversarial Machine Learning
  • Future trends and challenges

Lectures

Jupyter Notebooks

Assessment

  • Examination: 30%
  • Coursework: 70%
    • Two lab tests ( 25%)
    • Two class tests (25%)
    • One project (20 %)
  • Introduction to Linear Algebra by Gilbert Strang, https://math.mit.edu/~gs/linearalgebra/
  • The Python Tutorial, https://docs.python.org/3/tutorial/index.html
  • Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville, https://www.deeplearningbook.org
  • Practical Deep Learning for Coders, https://course.fast.ai