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AINS6003 Deep Learning & Neural Networks
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AINS6003 Deep Learning & Neural Networks
Syllabus
Module 1 Overview
Module 1 Book Prose
Module 1 Assignment: Baseline MLP design brief
Neural Units
Module 1 Narration
Module 1 Instructor Notes
Module 1 Lab: Forward pass and activations
Module 2 Overview
Module 2 Book Prose
Module 2 Assignment: Gradient trace and autograd check
Computational Graphs
Module 2 Narration
Module 2 Instructor Notes
Module 2 Lab: Manual vs autograd gradients
Module 3 Overview
Module 3 Book Prose
Module 3 Assignment: Optimizer and regularization comparison
Module 3
Module 3 Narration
Module 3 Instructor Notes
Module 3 Lab: SGD vs Adam on a synthetic surface
Module 4 Overview
Module 4 Book Prose
Module 4 Assignment: CNN architecture memo
Module 4
Module 4 Narration
Module 4 Instructor Notes
Module 4 Lab: CNN feature maps
Module 5 Overview
Module 5 Book Prose
Module 5 Assignment: Sequence modeling design note
Module 5
Module 5 Narration
Module 5 Instructor Notes
Module 5 Lab: Sequence prediction
Module 6 Overview
Module 6 Book Prose
Module 6 Assignment: Attention mechanism analysis
Module 6
Module 6 Narration
Module 6 Instructor Notes
Module 6 Lab: Attention patterns
Module 7 Overview
Module 7 Book Prose
Module 7 Assignment: Discriminative vs generative comparison
Module 7
Module 7 Narration
Module 7 Instructor Notes
Module 7 Lab: Generative vs discriminative
Module 8 Overview
Module 8 Book Prose
Module 8 Assignment: Reproducible training workflow checklist
Module 8
Module 8 Narration
Module 8 Instructor Notes
Module 8 Lab: GPU profiling checklist
Index