🎓 Assignments and projects for "Neural networks" course conducted in 2019 at Jagiellonian University.
All notebooks from course can be found here.
- Assignments
- Logistic regression in NumPy and PyTorch
- Multi-layered network
- Convolution and max pooling
- Deep convolutional neural networks (ResNet & SqueezeNet)
- RNN and LSTM
- Vanilla autoencoder
- Variational autoencoder
- Kaggle-like projects
❕ Descriptions are in polish language (except kaggle-like projects)