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 (Jan 17, kl. 8-10, K1)

Lecture 2a-b: From perceptron learning rule to backpropagation in feedforward networks - supervised learning (L2a: Jan 17, kl.10-12, K1; L2b: Jan 18, kl. 8-10, D2)

Lab (Jan 19)

Lecture 3: Generalization, regularization, model selection and validation (Jan 22, kl.15-17, B2)

Lab (Jan 24)

Lecture 4: Practical aspects of ANN approaches to pattern recognition problems (Jan 25, kl.8-10, B2)

Lab 1a bonus point deadline (Jan 26, kl.8-12)

Mandatory Quiz 1 (Jan 29, kl. 8-9 or 9-10) - please register at services (lecturers cannot register you for the exam!

Lab (Jan 31)

Lecture 5: Radial basis function networks and introduction to unsupervised learning (Feb 1, kl.13-15, B2)

Lecture 6: Self-organising maps (Feb 1, kl.15-17, B2)

Lab 1b bonus point deadline (Feb 2, kl.8-12)

Lecture 7a: Hopfield networks and introduction to stochastic networks (Feb 5, kl.13-15, B3)

Lecture 7b: Boltzmann machines and RBMs (Feb 5, kl.15-17, B3)

Lecture 8: Temporal processing with ANNs: feedforward vs recurrent network architectures (Feb 7, kl.13-15, D1)

Lab 2 bonus point deadline (Feb 9, kl.8-12)

Mandatory Quiz 2 (Feb 12, kl. 8-9 or 9-10) - please register at services (lecturers cannot register you for the exam!

Lab (Feb 14)

Lecture 9: Deep learning fundamentals (Feb 16, kl.8-10, B2)

Lecture 10a: Representation learning (Feb 19, kl.15-17, B2)

Lab (Feb 20)

Lecture 10b: Representation learning and deep generative modelling (Feb 21, kl.15-17, B2)

Lab 3 bonus point deadline (Feb 22, kl.13-17)

Lecture 11: Questions and review of past exams (Feb 23, kl.10-12, B2)

Mandatory Quiz 3 (Feb 29, kl. 8-9 or 9-10) - please register at services (lecturers cannot register you for the exam!

Lab (Feb 29)

Lab 4 bonus point deadline (March 4, kl.13-17)

Lab (March 11)

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

Written exam (TEN3) on March 14, kl.14-17 - please register at services (lecturers cannot register you for the exam!)

Re-quiz examination (KON1) on March 15, 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.