Training for students, prof. Madan Hochschule, Furtwangen University, Germany




Training for students, prof. Madan Hochschule, Furtwangen University, Germany

Training for students in various advanced areas of IT engineering in order to support the successful realization of their startup ideas will be held by prof. Manav Madan from the partner institution Hochschule Furtwangen University, Germany in the period 18.-21. September 2023 in the premises of the computer classroom in the building of the Rectorate of the University of Montenegro.

Training description:


Everyone can open the colab notebooks from their own Gmail account after creating a copy (this happens automatically when you try to run the notebook) and run them sequentially from top to bottom.

The description of the notebooks is as follows:
Day 1 18.09 Time: 9:00 AM - 11:00 AM
Introduction to Machine learning, deep learning, google colab, and other libraries. Through this notebook, we can introduce basic libraries for Image, text, and audio manipulation. The goal of this Notebook is to introduce different data modalities and show students which common libraries are there for manipulating specific types of data.
Link: https://colab.research.google.com/drive/19QbX2MRFwHKDMdBxi1sezo63MKmPgKQM?usp=sharing  

Day 2: 19.09 Time: 9:00 AM - 11:00 AM 
Object detection introduction with Images. An Introduction to Single-stage Object Detection Networks in which we will create a simple YOLOv5 model on chessboard images of a single class and then perform Inference. This notebook is built in a way that students can then replace and Label their own images and generate simple object detection models. For data labeling, we will introduce the Web-API from makesense.ai
Link: https://colab.research.google.com/drive/1w_7GeONCKQoteaWXWU7hMNEKgRg7m3sV?usp=sharing

Day 3: 20.09 Time 9:00 AM - 11:00 AM 
Time series forecasting with weather dataset from Montenegro (Podgorica weather data from 2014-2022). Introduction to N-beats, RNN, and LSTM models and comparison of these models as single uni-variate temperature forecasting models. 
Link: https://colab.research.google.com/drive/1UB-TtjmKNCI13Ph2m8xuAhoUGo8PH4wT?usp=sharing  

Day 4: 21.09 Time: 9:00 AM - 12:00 PM
Open for discussion and any other AI/ML/DL-related questions but no specific workshop.

 

Materials: 

https://github.com/MadanMl/Dignest_AI_workshop_HFU



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