joanna-janos / NeuralNetworks

Assignments and projects for "Neural networks" course conducted in 2019 at Jagiellonian University.

Neural networks

🎓 Assignments and projects for "Neural networks" course conducted in 2019 at Jagiellonian University.
All notebooks from course can be found here.

📁 Content:

• 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
  • MLP - overview
  • Predicting the probability of bird existence in given second of recording - overview
  • Image denoising - overview

❕ Descriptions are in polish language (except kaggle-like projects)