Deep learning: Lab exercises

There should be 2-4 students per group. Deadlines are hard and you cannot change groups.

Lab exercises comprise two parts:

  • code,

  • and a report to write.

So the question is: what do you need to write in the report? There are no specific instruction! You must think about the report as an essay: the objective of the report is that you convince us that you understand the theoretical foundation of the model and how to implement it in practice. Use your own word and notations, try to process the course and the lab exercise and explain them to us. Do not write handwavy explanation. You should probably use Latex for this.


  • Goal of the lab exercise

  • Neural network(s) architecture description

  • Implementation details

  • Experiment results: hyperparameters, learning curves, analysis, model comparison.

Length: 3-6 pages if double columns, a little bit longer otherwise, but these are not hard limits - you can do less, you can do a little more. Just don’t write too much, go to the essential. Formal notations with minimum writing to be understandable. Just convince me that you know what you are talking about. :)

Scoring: as long as you do the work seriously, that you commented the code you wrote and you submit a nice report, we will give you a good grade. Do not worry if you did not succeed to do everything or if you didn’t understand something. Explain in the report what you did not succeed so we can see you did some effort.

Frequently asked questions?

There is no submission for the first lab exercise?
No, but you need to report your lab exercise 1 work in the second lab exercise report.

Can we be five students in a group?

Can I submit a commented notebook instead of a PDF report?

Where are the notebook for lab exercise 3 and 4
You can create them yourself, you have everything you need in the instructions and previous lab exercises.

Lab exercises 1 and 2

You only need to submit the code of the second lab exercise, but to succeed the second one you must succeed the first one…


  • Hard deadline: April 6, 23:59:00

  • Submission website: ecampus

  • You must submit one ipynb (Lab exercise 2) and one PDF file  —  there will be a penalty is you submit a zip/rar/tar.gz/etc file