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: Installed Anaconda3 (Tutorial is available here) or a google account to use Google-Colab.