Teaching

Introduction to Deep Learning (I2DL) (IN2346)

Summer semester 2019

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks.

Advanced Deep Learning for Computer vision (ADL4CV) (IN2364)

Summer semester 2019

Advanced architectures for vision, siamese neural networks, autoencoder, VAE, Bayesian Deep Learning, multi-dimensional CNN, generative models, GANs, visualization techniques.

Recent trends in Automated Machine Learning (AutoML) (IN2107, IN4954)

Summer semester 2019


Past semesters

Introduction to Deep Learning (I2DL) (IN2346)

Winter semester 2018/19

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks.

Advanced Deep Learning for Computer vision (ADL4CV) (IN2364)

Winter semester 2018/19

Advanced architectures for vision, siamese neural networks, autoencoder, VAE, Bayesian Deep Learning, multi-dimensional CNN, generative models, GANs, visualization techniques.

Introduction to Deep Learning (I2DL) (IN2346)

Summer semester 2018

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks.

Deep Learning for Computer Vision (IN2346)

Winter semester 2017/18

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks, Advanced architectures, Generative Models, Variational Autoencoders.