The course is provided by Jose Portilla (Pierian Data Inc.) and  Marcel Früh on Udemy. With 88 lectures and 12 hours of videos this course provides knowledge on the application of state-of-the-art Deep Learning architectures to highly complex and non-standard (medical) problems (in 2D and 3D).
Some of the tasks and topics that this course introduced me to include:
- Tensors with PyTorch
- Foundations of Medical Imaging
- Data Formats in Medical Imaging
- Creating Artificial Neural Networks with PyTorch
- Use PyTorch-Lightning for state-of-the-art training
- Visualize the decision of a CNN
- 2D & 3D data handling
- Cancer segmentation, pneumonia classification, cardiac detection
Credentials: