Welcome to the DTU summer school 02901 Advanced Topics in Machine Learning - Deep Learning. We will post links to excercises and other information on this page.

Official Course description

Course Program

We will post the code for the exercises on https://github.com/DTU-deeplearning/.

If you have any questions to the installation instructions or exercises please ask questions under the relevant subpage by posting a comment.

Exercises

Day1 - Neural Networks and Backprob

This excise will introduce the backpropagation algorithm which is the foundation for all modern Neural Networks

Day2 - Convolutional Neural Networks

This excise will introduce covolutional neural networks which is widely used in image recognition systems

Day3 - Recurrent Neural Networks

This excise will introduce recurrent neural networks

Day5 - Ladder network and autoencoders

Ladder network and autoencoders

Day4 - Variational Methods

Today we'll introduce some of the new exciting algorithms that use ideas from both variational learning and modern neural networks

Running an Exercise

How to run an Exercise using Ipython Notebook

Install Theano on Windows

Some guidelines for installing theano in windows

Installation Instructions

Guides to the prerequisite software/libraries needed to run the exercises