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Level 5 Diploma in Cyber Security

Neural network preliminaries: biological inspiration, universal approximation, layers, activation functions and GPU matrix computation

CYB503 · Artificial Intelligence — Week 3 of 16

CourseCYB503
Week3 of 16
SemesterI
TutorOnline in the course chat

This week’s topics

Neural network preliminaries: biological inspiration, universal approximation, layers, activation functions and GPU matrix computation

  1. Neural network preliminaries: biological inspiration, universal approximation, layers, activation functions and GPU matrix computation
  2. Backpropagation

What you will be able to do

  • 2.1 Describe how backpropagation is used to update neural network parameters to achieve a desired goal.

Activity

Seminar, guided reading and a short written task: describe how backpropagation is used to update neural network parameters to achieve a desired goal.

Study materials

The teaching notes, exercises and videos of this week are in the student portal. Your portal is set up as soon as you receive final acceptance, so you can open them before the semester starts.
Week 2Week 4
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Admitted students ask questions on this week’s page in the student portal: an AI assistant trained on the course answers first, and during the course’s timetabled classes Connect to your tutor brings your tutor into the chat, who may start a call if needed.

Open this week in the portal
Course plan
  • Week 1: History of AI (Babbage, the Turing test), symbolic AI vs. m…
  • Week 2: Machine learning approaches: linear and logistic regression…
  • Week 3: Neural network preliminaries: biological inspiration, unive…
  • Week 4: Training neural networks: loss functions, SGD, learning rat…
  • Week 5: Neural network architectures: dense, convolutional, transfo…
  • Week 6: Building networks in PyTorch or TensorFlow/Keras; training …
  • Week 7: Evaluating trained models: train vs. test performance, over…
  • Midterm: Midterm evaluation
  • Week 9: Deep generative models: variational autoencoders, normalisi…
  • Week 10: CLIP and image/video generation
  • Week 11: AI in cyber security: traffic scanning and email filtering
  • Week 12: Applying Artificial Intelligence in practice: case studies
  • Week 13: Assignment workshop: research, planning and referencing
  • Week 14: Assignment workshop: drafting, feedback and improvement
  • Week 15: Review and coursework completion
  • Final: Final assessment and submission
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