Please note that you are strongly encouraged to attend all the lecture sessions on Campus. Also, it is vital that you watch the corresponding pre-recorded videos beforehand (if available) and read the recommended material.

Quizzes correspond to three partial exams scheduled on three specific dates throughout the course.

As for lab sessions, it is only mandatory to demonstrate five lab assignments (get them reviewed by teaching assistants) on selected occasions. So there is no need to attend all lab sessions. More information on bonus points that can be earned by early review of your lab assignments and about signing up for lab review on the selected time slots can be found in Lab review.

Lecture and lab plan

Lecture 1: Course introduction and fundamental concepts (Aug 27, kl. 8-10, D2)

Lecture 2a-b: From perceptron learning rule to backpropagation in feedforward networks - supervised learning (L2a: Aug 28, kl.15-17, D2; L2b: Sep 3, kl. 10-12, D2)

Lab (Sep 4)

Lecture 3: Generalization, regularization, model selection and validation (Sep 5, kl.10-12, D2)

Lab 1a bonus point deadline (Sep 6, kl.8-12)

Lecture 4: Practical aspects of ANN approaches to pattern recognition problems (Sep 9, kl.13-15, D2)

Mandatory Quiz 1 (Sep 11, kl. 13-14 or 14-15) - please register at services (lecturers cannot register you for the exam!

Lab (Sep 12)

Lecture 5: Radial basis function networks and introduction to unsupervised learning (Sep 13, kl.10-12, K1)

Lecture 6: Self-organising maps (Sep 16, kl.10-12, B3)

Lab 1b bonus point deadline (Sep 17, kl.8-12)

Lecture 7a: Hopfield networks and introduction to stochastic networks (Sep 19, kl.13-15, K1)

Lab (Sep 20)

Mandatory Quiz 2 (Sep 24, kl.13-14 or 14-15) - please register at services (lecturers cannot register you for the exam!

Lecture 7b: Boltzmann machines and RBMs (Sep 26, kl.8-10, D2; Sep 27, kl.10-12, D2)

Lab 2 bonus point deadline (Sep 26, kl.13-17)

Lecture 8: Temporal processing with ANNs: feedforward vs recurrent network architectures (Oct 1, kl.15-17, D2)

Lecture 9: Deep learning fundamentals (Oct 3, kl.8-10, K1)

Lab (Oct 2)

Lecture 10a-b: Representation learning and deep generative modelling (L10a: Oct 7, kl.10-12, M2; L10b: Oct 11, kl.8-10, D2)

Lab 3 bonus point deadline (Oct 4, kl.8-12)

Lab (Oct 8)

Lab (Oct 10)

Mandatory Quiz 3 (Oct 10, kl.13-14 or 14-15) - please register at services (lecturers cannot register you for the exam!

Lecture 11: Deep generative modelling: current trends (Oct 15, kl.15-17, D2)

Lab 4 bonus point deadline (Oct 14, kl.8-12)

Lecture 12: Questions and review of past exams (Oct 15, kl.15-17, D2)

Lab (Oct 16) - catch-up lab

Lecture 12: Course summary, old exam questions, Q&A (Oct 10)

Written exam (TEN3) on Oct 18, kl.8-11 - please register at services (lecturers cannot register you for the exam!)

Re-quiz examination (KON1) on Oct 25, kl.14-17 - please register at services (lecturers cannot register you for the exam!)

Extra lab review sessions after the exam, if needed, will be announced later.

Please find more details regarding the lecture content and recommended reading materials in respective lecture modules.