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Deep-Learning

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.