Presented by:

Jadga Hügle

from SAP

Jadga works on Snap! and loves to create fun projects that might also be helpful for students and teachers. Her favourite Snap! block is map <3

Uwe Lorenz

from University of Konstanz
<p>After completing my studies in computer science and philosophy with a focus on artificial intelligence and machine learning at Humboldt University in Berlin in 2007 and working as a project engineer for several years, I worked as a secondary school teacher in Baden-Württemberg, teaching computer science and mathematics. Since my first contact as a kid with computers in the late 1980s, I have been fascinated by the topics of artificial intelligence and machine learning, and have also writte...

Jens Mönig

from SAP
<p>Jens Mönig is a researcher at SAP and makes interactive programming environments. He is fanatical about visual coding blocks. Jens is the architect and lead programmer of UC Berkeley’s "Snap! Build Your Own Blocks" programming language, used in the introductory “Beauty and Joy of Computing” curriculum. Previously Jens has worked under Alan Kay on the GP programming language together with John Maloney and Yoshiki Ohshima, helped develop Scratch for the MIT Media Lab and written enterprise s...
No materials for the event yet, sorry!

Neural networks and deep learning are an important part of current artificial intelligence. Therefore, we want people to understand what's happening under the hood. We've used a single ‘layer’ sprite to create a classic Rosenblatt perceptron. Duplicate the layer sprite multiple times and customise the receivers in the transmission blocks to create deep neural networks. Use the setup script to customise the topology and learning rate of the network. Experiment with exciting data sets, investigate the effects of hyperparameters and observe the data stream processing of the deep neural network. Watch how the network learns by processing the error stream during backpropagation.

Duration:
15 min
Room:
Plenary Room
Conference:
Snap!Con 2025
Type:
Talk
Difficulty:
Medium