Project 1: Implementation of ANN/Backpropagation using Numpy, including a datagenerator.
Project 2: Implementation of CNN using Numpy (not finished), including a datagenerator.
Project 3: Semi supervised learning with a simple Autoencoder in PyTorch, including t-SNE plots and visuals.
Project 4: Implementation of AutoEncoder (AE), Variational AutoEncoder (VAE) and Generative Adversarial Network (GAN) using PyTorch. Includes a variety of performance measures, anomaly detection and visuals.