Hands-On III
Introduction to artificial neural networks: classifying handwritten numbers using Python and Tensorflow/Keras.
Date:
14.09.2022, 10:30 - 12:00 and 13:30 - 15:00
Duration:
2 x 90 minutes
Location:
H 0.009
Abstract
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.
Prof. Robert Meißner
Hamburg University of Technology, Institute of Polymers and Composites
Hamburg University of Technology, Institute of Polymers and Composites
Benjamin Boll
Hamburg University of Technology, Institute of Polymers and Composites
Hamburg University of Technology, Institute of Polymers and Composites
Tim Würger
Hamburg University of Technology, Institute of Polymers and Composites
Hamburg University of Technology, Institute of Polymers and Composites