Hands-on experience with neural networks
Tutorial date & time
Wednesday 15.11.2023, 9.00 – 13.00.
The workshop will start with a short introduction into neural networks. After the presentation we will conduct a series of exercises using Tensorflow online (playground.tensorflow.org). The participants will gain hands-on experience what happens if you change the structure of the neural network, its hyper-parameters, the activation function, etc.
This is a workshop for people who don’t have any experience with neural networks yet and want to get a first impression, for any purpose e.g. using, building or testing AI.
The participants should bring a laptop, tablet, or mobile with a web browser and Internet access.
ISTQB® certified participants / FiSTB members & partners, TestausOSY (Finnish Association of Software Testing) members/ TIVIA network card holders: 400 € + VAT 24% = 496 € Please fill in the invoicing information in the registration page.
Others: 600 € + VAT 24% = 744 € Please fill in the invoicing information in the registration page.
FiSTB organizers: 0 €
Dr. Klaudia Dussa-Zieger is Principal Consultant at Method Park Consulting GmbH and has been involved in software testing and software quality for almost 20 years. She is convinced that “given the increasing complexity of today’s software systems, their development is not possible without testing”. In her specialist field, the continuous improvement of the test process as well as ensuring professional training and further qualification are of particular importance for her. For more than 15 years she has been trainer for the ISTQB® Certified Tester Foundation and Advanced Level which allows her to pass on her long-standing experience. She herself holds the ISTQB® Certified Tester Full Advanced Level certification. Process and test improvements result from the assessments which she carries out as iNTACSTM Competent Assessor (ISO/IEC 15504) for Automotive SPICE. Her book „Software Engineering nach Automotive SPICE“ (German) is listed in one of the top positions in the Amazon bestseller ranking for the relevant book category.