Description
The course is a practical introduction into TensorFlow and PyTorch as a software with their practical application in statistics and deep learning. The course covers
- basic operations
- (probabilistic) statistical models
- multilayer feedforward neural networks
- convolutional neural networks
- recurrent neural networks
- autoencoder
in TensorFlow and PyTorch.
Target audience
Statistics and Data Science Master students
Enrollment Key
appliedDL2021!
- Trainer/in: Hüseyin Gündüz
- Trainer/in: Mina Rezaei
- Trainer/in: David Rügamer