Practical Sessions for Eastern European Machine Learning Summer School (EEML)
The exercises in this repository are used for the practical sessions of the Eastern European Machine Learning Summer School, happening in Bucharest, Romania between 1-6 July 2019. The sessions cover topics from basic knowledge of numpy, tensorflow to computer vision, recurrent models, unsupervised learning and reinforcement learning.
You are welcome to reuse this material in other courses or schools, but please reach out to firstname.lastname@example.org if you plan to do so. We would appreciate if you could acknowledge that the materials come from EEML2019 and give credits to EEML2019 lab instructors (David Szepesvari - introductory, Viorica Patraucean - vision, Andrei Rusu - rnn, Mihaela Rosca - unsupervised, Diana Borsa - rl). Also please keep a link in your materials to the original eeml2019 repo, in case updates occur.
To access the exercises please download them and place them in your Google Drive. The simplest way to do this is to check out the git repository, then use the "Folder Upload" tool in GDrive. Use colab to view or edit them.
Copyright (c) 2019 EEML
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