Unofficial pages of the Deep Learning course at UniZg-FER

About the course

Lectures

Currently we only offer lectures in Croatian. We cover the following subjects: The chapters and sections refer to the textbook by Goodfellow et al.

Literature

  1. Ian Goodfellow, Yoshua Bengio and Aaron Courville. Deep Learning. MIT Press (html)
  2. Aston Zhang, Zack C. Lipton, Mu Li, Alex J. Smola. Dive into Deep Learning. (html)
  3. Michael Nielsen. Neural Networks and Deep Learning. Determination press. (html)

Exams

Currently, the English version of this course can be completed only through a comprehensive exam in June/July. Please note that successful completion of the lab exercises is a prerequisite for taking the exam. Please send us an e-mail as soon as you complete any of the lab exercises in order to take the lab assessment.

Our exams typically consist of 12 short theoretical questions (you need to choose a corect answer, 30% points) and 5-6 problems (70% points). To get a feeling on how the problems might look like, please have a look at our previous exams listed below. These documents are in Croatian, however Google translate does a pretty good job these days, so I think they might be helpful.

  1. Midleterm exam 2016/17 (pdf)
  2. Final exam 2016/17 (txt)

Laboratory exercises

  1. Logistic regression, gradient descent, Python, numpy: instructions.
  2. Tensorflow, fully connected models, MNIST: instructions;
  3. Convolutional models, MNIST, CIFAR: instructions;
  4. Recurrent models: instructions.
  5. Generative models: instructions.

Student projects

Interesting links