Deep Learning with a Focus on Text Analysis

Announcement from the EAA organiser:

In computational science, deep learning probably is one of the most heralded techniques of present time and recent history, mainly due to its versatility and impressive achievements likewise. Indeed, applications of deep learning range from beating the (human) world champion of the highly complicated Go game to the promise of deploying self-driving cars in the near future, on a large scale and all over the world.



Deep learning (DL) pertains to the field of artificial intelligence and is great at extracting and mastering the often highly non-linear patterns of a given process, whatever this process might be. The only main requirement is the availability of a large amount of data that describes the behaviour of the process under different conditions and a truckload of computational power. However, since the price of data storage and the effort of sampling data has dropped dramatically over the last years, and since Moore’s law on the increase of computational power does even nowadays not show any signs of a slowdown, fitting deep learning models that are able to produce extremely useful predictions are a reality and this already for some years now.



The main purpose of this web session is to get the participants acquainted with DL models, and applications on text analysis will help achieving this. To this end, a healthy mix between theory and practice will be provided, however, it is important to note that some time will be spent to go through the theoretical foundations of neural networks and hence DL, as the inner workings of these models are a bit different from the ones of the classic statistical models.

The practical sessions will make use of Keras, Tensorflow and R(Studio). Guidelines on how to install these tools on your own laptop will be provided several weeks prior to the beginning of the web session (*). When the applications of DL will be discussed, participants will have the choice to run the code in real-time her/himself on her/his own laptop during this part of the seminar, or to just follow on the screen. Technical support regarding the installation will be provided during the seminar, if necessary.

(*) prior to the online training, we will supply the participants with an exhaustive list of packages/libraries that need to be installed additionally to the above tools, as well as a description of how to install them.

Technical requirements

Please check with your IT department if your firewall and computer settings support web session participation (the programme Zoom is used for the web session). Please also make sure that you are joining the web session with a stable internet connection. 

Click here for reservations Your early-bird registration fee is € 450.00 plus 19% VAT for bookings by 13 October 2022. After this date, the fee will be € 585.00 plus 19% VAT.