BSDA5013 · workspace
Deep Learning Practice
Syllabus, study tools, lectures, and curriculum map.
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Browse course shelfWeekly outline
Syllabus
Week topics from the course map
00W00
Topic
Incomplete
01W01
Introduction to Modern NLP and HF
Incomplete
02W02
Tokenization
Incomplete
03W03
Fine-tuning models for downstream tasks
Incomplete
04W04
Continual Pre-training and Instruction Tuning
Incomplete
05W05
Spoken Language Identification
Incomplete
06W06
Speaker Diarisation (identifying speakers and when they are spoken in a conversation)
Incomplete
07W07
Speech to Text and Text to Speech synthesis
Incomplete
08W08
Wake word detection like "Hey Google" or "Alexa" with personalization
Incomplete
09W09
Image Classification
Incomplete
010W10
Object detection
Incomplete
011W11
Image based depth estimation
Incomplete
012W12
Image super-resolution
Incomplete
Study tools
Memorize first
Compact recall strip
4 min
Data Loading & Pipelines: Dataset, DataLoader, Transformations
Open this first for the core logic and traps.
Dive in
4 min
Distributed Training: DDP, Gradient Accumulation, and Mixed Precision
Open this first for the core logic and traps.
Dive in
4 min
Experiment Tracking: MLflow, W&B, Metrics Logging, Hyperparameter Sweeps
Open this first for the core logic and traps.
Dive in
Practice Dock
One drill at a time, with Theo hints, teacher lanes, and a replay queue.
Use this when the theory is already clear and the goal is fast, clean retrieval under pressure. Mark weak questions, copy a revision pack, and move on.
TheoTeacherTextbookSpeedrun
Hint ladder
5 steps
Weak replay
Local
Revision pack
Copy
Mode lanes
4
Ask less. Recall more.
Open Practice Dock
SM-2 Active
Spaced Repetition
Flashcards
Spaced repetition engine for long-term retention of core concepts.
Start session
Not Available
Interactive Simulations
Visual Labs
Exam Mode
Adaptive Practice
Mock Exam
Set paper
Code Protocol
OPPE Simulator
Secure Comm-Link Terminal
Syllabus Matrix Registry
Global Course Index