Deep Learning | FER

Laboratory assignments from the course "Deep Learning" at FER.

0. Machine Learning Basics: Logistic Regression, Gradient Descent, Python, Numpy, PyTorch
1. Fully Connected Deep Models, MNIST
2. Convolutional Models, MNIST, CIFAR10
3. Recurrent Models: LSTM, BiLSTM
4. Generative Models: RBM, DBN, VAE, GAN