Neural networks 2

• Home
• About the Course
• Credits
• Lecture and Exercise Notes

5th week (Octber 21th 2025)

• Neural networks and generalization. techniques for preventing overfitting.
• Introduction to Convolutional Neural Networks
• Graded Homework - Email your solution notebook by Nov 3, 2025. Consultation (lab or individual) required by Nov 7, 25 to recieve points. See slides for details.
• week05.pdf
• week05_CNN.pdf
• GitHub

4th week (Octber 14th 2025)

• Training workflow in Keras: A complete example.
• Examples of solving various tasks using MLP (classification, regression, time series prediction). Text, image and numerical data.
• Graded Homework - Email your solution notebook by Oct 21, 2025. Consultation (lab or individual) required by Oct 24, 25 to recieve points. See slides for details.
• week4.pdf
• GitHub

3rd week (Octber 7th 2025)

• Multi-Layer Neural Netwoks and their training.
• Introduction to Python libraries for machine learning and deep learning.
• Training workflow in Keras: A complete example
• Graded Homework - Email your solution notebook by Oct 14, 2025. Consultation (lab or individual) required by Oct 17, 25 to recieve points. See slides for details.
• week3.pdf
• GitHub

2nd week (September 30th 2025)

• Introduction to Machine Learning and Artificial Neural Networks.
  • History of Artificial Neural Networks
  • Artificial Neurons
  • Multi-Layer Neural Netwoks and their training.
• week2.pdf
• GitHub

1st Week (September 23th 2025)

• About the Course. Overview. Conditions for Credits.
• Introduction to Machine Learning and Artificial Neural Networks.
  • Workflow of a Machine Learning Task.
  • History of Artificial Neural Networks - next week.
• Introduction to Python libraries for machine learning and deep learning.
• week1.pdf
• GitHub