Scaler School of Technology · Semester 4
Deep Learning I: Neural Networks
From a single neuron to the Transformer, built from first principles. Fourteen interactive lessons, live simulators, and an exam center modelled on the real papers.
Every idea here starts with a question: what problem is this solving, and what breaks without it? You read the intuition, play with a simulator until it clicks, then test yourself against questions written in the exact format of your assessments. Work top to bottom, or jump to whatever you need before an exam.
14 lessons
Start learning
First-principles lessons with a hand-built simulator in each.
Practice
Exam Center
A filterable bank plus full mock exams: MCQ, match, and NumPy code.
Reference
Glossary
Every term in the course, defined and cross-linked.
▸ How your course is assessed
From the official Evaluation Guide. The lessons and exam center are built to match this.
| Assessment | When | Covers | Question types |
|---|---|---|---|
| Online Assessment 1 | End of Week 3 | Weeks 1-3 (lessons 1-6) | Single MCQ (negative marking), multi-correct, descriptive |
| Online Assessment 2 | End of Week 6 | Weeks 4-6 (lessons 7-12) | Single MCQ, multi-correct, descriptive |
| Final Exam | Week 9 | Weeks 1-7 (all lessons) | All of the above, plus match-the-following and NumPy code completion |
▸ The lessons
This is a living course, and I am your teacher. If any lesson, simulator, or answer is unclear, ask me and we will go deeper, add a worked example, or build a new visualization. Tell me which exam is next and I will point you at exactly what to drill.