Laboratory assignments from the course "Deep Learning" at FER.
- Machine Learning Basics: Logistic Regression, Gradient Descent, Python, Numpy, PyTorch
- Fully Connected Deep Models, MNIST
- Convolutional Models, MNIST, CIFAR10
- Recurrent Models: LSTM, BiLSTM
- Generative Models: RBM, DBN, VAE, GAN