Collection of teaching material for deep learning for (biomedical) image analysis.
This repository contains a collection of jupyter notebooks with exercises that can be re-used for courses. Currently:
exercises/classification
contains exercises for image classification.
- Create a conda environment with the necessary dependencies
conda env create -f environment-gpu.yaml
(useenvironment.yaml
instead of you don't need gpu support)
- Try the first notebook
- Activate the conda env:
conda activate dl-image-gpu
- Start jupyter:
jupyter notebook
- Open and run the notebook at
exerceises/classification/1_data_preparation.ipynb
- Activate the conda env: