AINS6003 Deep Learning & Neural Networks

AINS6003 Deep Learning & Neural Networks#

This book is the instructional hub for AINS6003 Deep Learning & Neural Networks (Aurnova MSAI core course AIN6003).

The learner site and working repositories have distinct roles:

  • book prose for conceptual understanding

  • slides for presentation flow (RISE-ready notebooks)

  • narration for asynchronous delivery

  • public rubrics for transparent expectations

  • a private student repository for executable labs and graded exercises

  • a restricted instructor repository for teaching notes, solutions, and grading keys

::{admonition} Your private student workspace :class: tip

This GitHub Pages site is the learner-facing textbook for AINS6003 Deep Learning and Neural Networks. It intentionally does not link to the restricted instructor repository or to graded exercise files.

For hands-on work, return to the current module in Populi and open the private student repository assigned to you. Clone that repository once, or open its Codespace. To use Colab, choose File → Open notebook → GitHub, authorize your private repositories, and select the lab or exercise from your assigned repository.

Complete the work there, commit and push it, and submit exactly what the Populi assignment requests. Populi remains the official source for due dates, submissions, feedback, and grades.

Course arc (8 modules)#

  1. From neurons to multilayer networks

  2. Backpropagation and automatic differentiation

  3. Optimization, loss, and regularization

  4. Convolutional neural networks for vision

  5. Sequence models: RNNs and LSTMs

  6. Attention and transformers

  7. Generative models and applications

  8. GPU workflows, scale, and deployment

GPU-backed labs are scaffolded for Modules 3–8. Students use the private repository assigned in Populi, opening its Codespace or an approved Colab/cloud GPU environment where noted in the syllabus.

Start Here#

Choose the path that matches your role:

  • Students: begin with How to Use This Course, review each module’s overview, reading, and slides here, then return to Populi and work in the assigned private student repository.

  • Faculty: begin in the restricted Populi faculty area and instructor repository; teaching notes, grading keys, and reference solutions are intentionally absent from this learner site.

  • Technical setup: use Technical Requirements and Setup. Clone your private student repository once or open its Codespace/Colab notebooks; a paid Colab Pro subscription and dedicated local GPU are not required.

  • Readings: use Authoritative Readings and Resources to connect module claims to primary standards, official documentation, and open textbooks.

  • Student workspace: Populi provides the only authoritative link to each learner’s complete private repository; do not use or request access to a course-source or instructor repository.

What Is Interactive?#

The readings and rendered slides are navigable web pages. Interactive labs and exercises are delivered only through each learner’s private student repository; Populi supplies the official repository link, due date, submission, feedback, and grade. “RISE-ready” means a facilitator can open a slide notebook in JupyterLab for presenter mode; students can read the same deck in the browser without installing RISE.