Neural Networks and Deep Learning

Greifswald, March 11-13, 2024

Go to Moodle for

• Q & A forum
• feedback
• announcements
• quiz

Get Started

1. Login to Moodle (requires registration). Leave the Q & A tab open in your browser.
2. Login at https://apphub.wolke.uni-greifswald.de/ and spawn a "Datascience" server.
3. Open a terminal (click + below File, then Terminal)
4. Download the class material: Copy and paste this command into a terminal

git clone https://github.com/DataCompetency/KI-Block.git

Course Overview

In this course you will get practical knowledge to perform general machine learning and, in particular, computer vision tasks with TensorFlow. Moreover, you will get the necessary theoretical background to troubleshoot when transferring the knowledge to solve own problems. The class will be hands-on and interactive. A device with a browser, keyboard and a VPN connection to the Rechenzentrum is required.

(Stochastic) Gradient Descent

Linear Regression with TensorFlow 2

Expore the Effect of Critical Parameters

Derive and Optimize

Fully-Connected Neural Network for Regression

Convolutional Neural Networks (Architectures, Filters, Feature Maps)

Fooling a CNN - Make it 'Think' a Plant is a Cat