The goal of this workshop is to provide an insight into deep learning on the use case of detecting handwritten numbers. After an introduction to the basics of neural networks, a workflow for machine learning tasks is solved in groups. Therefore, Jupyter notebooks are provided to guide the course through ANN development with Tensorflow/Keras. Finally, the trained networks will be applied for the detection and recognition of handwritten text on images.
Prerequisite: Basic Python knowledge and, ideally a Laptop with an Anaconda 3
installation (Instructions can be found here in Ger+Engl). As a minimal
requirement, a Laptop or Tablet (with keyboard) can be used to work in Google-Colab.
IMPROTATNT: For the Colab-Backup, a Google account is mandatory and the last slide of the Instruction should be completed before the event.