Deep Learning Applications for the Course Deep Leaning (2021) at Vrije Universiteit Amsterdam.
- Project 1, Implementation of basic MLP without libraries, vectorized MLP with NumPy
- Project 2, Implementation of Convolutional Architectures (CNN) in PyTorch and basic NumPy
- Project 3, Implementation of CNN for MNIST dataset, hyper-parameter optimization. Co-authors: Bruna Aguiar Guedes & Romy Vos
- Project 4, Implementation of VAE, RealNVP, and GAN for MNIST and SVHN datasets. Co-authors: Bruna Aguiar Guedes & Romy Vos