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
- Python
- PyTorch
Assessment
- Examination: 30%
- Coursework: 70%
- Two lab tests ( 25%)
- Two class tests (25%)
- One project (20 %)
Recommended Books/Resources
- 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